{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alessandro\Dropbox\Stata14\Appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}29 Jun 2022, 12:41:19
{txt}
{com}. 
. *********************************************************
. * Bankert, A., Del Ponte, A., Huddy, L. (2022)          *
. * Partisanship in Times of Crisis - Evidence from Italy *
. * Political Science Research and Methods                *
. * Replication Do-File: Appendix                         *
. *********************************************************
. 
. ********************************************************************************
. * Table A1 - Sample demographics and attrition by sample (CATI, CAWI, Overall) *
. ********************************************************************************
. //Wave 1
. tab Age_Cat01

  {txt}Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,533       22.53       22.53
{txt}         .5 {c |}{res}      3,380       49.67       72.20
{txt}          1 {c |}{res}      1,892       27.80      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      6,805      100.00
{txt}
{com}. tab Gender

     {txt}Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}      3,034       44.58       44.58
{txt}     Female {c |}{res}      3,771       55.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      6,805      100.00
{txt}
{com}. tab Employment01

{txt}Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,214       58.37       58.37
{txt}          1 {c |}{res}      2,292       41.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      5,506      100.00
{txt}
{com}. tab Education

                   {txt}higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}        124        1.82        1.82
{txt}                      Elementary school {c |}{res}      1,074       15.78       17.60
{txt}       Junior secondary License/Starter {c |}{res}      2,334       34.30       51.90
{txt}Professional qualification Diploma (2-3 {c |}{res}        498        7.32       59.22
{txt}          Vocational high school degree {c |}{res}        324        4.76       63.98
{txt}                      Technical Diploma {c |}{res}        855       12.56       76.55
{txt}High school diploma (humanities or scie {c |}{res}        516        7.58       84.13
{txt}                          Other Diploma {c |}{res}        287        4.22       88.35
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}        392        5.76       94.11
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}        332        4.88       98.99
{txt}    Title postgraduate (masters or PhD) {c |}{res}         69        1.01      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      6,805      100.00
{txt}
{com}. tab noparty

       {txt}1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,317       48.74       48.74
{txt}          1 {c |}{res}      3,489       51.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      6,806      100.00
{txt}
{com}. tab PartyID_W1

                             {txt}PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        320        9.54        9.54
{txt}Communist Refoundation Party (Bertinott {c |}{res}         35        1.04       10.58
{txt}party of Italian Communists (Diliberto) {c |}{res}         17        0.51       11.09
{txt}             Democratic Party (Bersani) {c |}{res}        989       29.49       40.58
{txt}            Italy of values (Di Pietro) {c |}{res}        194        5.78       46.36
{txt}         people of freedom (Berlusconi) {c |}{res}        842       25.10       71.47
{txt}the future and freedom for Italy (Fini) {c |}{res}        134        4.00       75.46
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          6        0.18       75.64
{txt}                      Lega Nord (Bossi) {c |}{res}        346       10.32       85.96
{txt}UDC-Union of Christian and Centre Democ {c |}{res}        157        4.68       90.64
{txt}                    The right (Storace) {c |}{res}         38        1.13       91.77
{txt}            5 Star Movement 12 (Grillo) {c |}{res}        104        3.10       94.87
{txt}                       Greens (Boselli) {c |}{res}         12        0.36       95.23
{txt}                          SDI (Bonelli) {c |}{res}          7        0.21       95.44
{txt}                Democratici di Sinistra {c |}{res}         20        0.60       96.03
{txt}                La Margherita (Rutelli) {c |}{res}          5        0.15       96.18
{txt}         List Pannella-Bonino (radical) {c |}{res}         19        0.57       96.75
{txt}                       Fiamma Tricolore {c |}{res}         13        0.39       97.14
{txt}               Force Italy (Berlusconi) {c |}{res}         56        1.67       98.81
{txt}               National Alliance (Fini) {c |}{res}         35        1.04       99.85
{txt}                         MPA (Lombardo) {c |}{res}          5        0.15      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      3,354      100.00
{txt}
{com}. tab Turnout_W5

  {txt}Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}        131        6.45        6.45
{txt}       Voted {c |}{res}      1,901       93.55      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      2,032      100.00
{txt}
{com}. sum Partisan_ID

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}      3,317    .4836943    .1839804          0          1
{txt}
{com}. sum Pol_Interest_W1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}      6,781    .4540137    .3231023          0          1
{txt}
{com}. 
. //Completed panel
. tab Age_Cat01 if totalwaves==5

  {txt}Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        467       22.59       22.59
{txt}         .5 {c |}{res}      1,181       57.14       79.73
{txt}          1 {c |}{res}        419       20.27      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,067      100.00
{txt}
{com}. tab Gender if totalwaves==5

     {txt}Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}      1,063       51.43       51.43
{txt}     Female {c |}{res}      1,004       48.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,067      100.00
{txt}
{com}. tab Employment01 if totalwaves==5

{txt}Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,089       53.43       53.43
{txt}          1 {c |}{res}        949       46.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,038      100.00
{txt}
{com}. tab Education if totalwaves==5

                   {txt}higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}         11        0.53        0.53
{txt}                      Elementary school {c |}{res}        144        6.97        7.50
{txt}       Junior secondary License/Starter {c |}{res}        607       29.37       36.87
{txt}Professional qualification Diploma (2-3 {c |}{res}        150        7.26       44.12
{txt}          Vocational high school degree {c |}{res}        128        6.19       50.31
{txt}                      Technical Diploma {c |}{res}        343       16.59       66.91
{txt}High school diploma (humanities or scie {c |}{res}        208       10.06       76.97
{txt}                          Other Diploma {c |}{res}        104        5.03       82.00
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}        184        8.90       90.90
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}        147        7.11       98.02
{txt}    Title postgraduate (masters or PhD) {c |}{res}         41        1.98      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      2,067      100.00
{txt}
{com}. tab noparty if totalwaves==5

       {txt}1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,456       70.44       70.44
{txt}          1 {c |}{res}        611       29.56      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,067      100.00
{txt}
{com}. tab PartyID_W1 if totalwaves==5

                             {txt}PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        168       11.51       11.51
{txt}Communist Refoundation Party (Bertinott {c |}{res}         10        0.68       12.19
{txt}party of Italian Communists (Diliberto) {c |}{res}          8        0.55       12.74
{txt}             Democratic Party (Bersani) {c |}{res}        437       29.93       42.67
{txt}            Italy of values (Di Pietro) {c |}{res}        111        7.60       50.27
{txt}         people of freedom (Berlusconi) {c |}{res}        290       19.86       70.14
{txt}the future and freedom for Italy (Fini) {c |}{res}         65        4.45       74.59
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          4        0.27       74.86
{txt}                      Lega Nord (Bossi) {c |}{res}        152       10.41       85.27
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         63        4.32       89.59
{txt}                    The right (Storace) {c |}{res}         16        1.10       90.68
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         50        3.42       94.11
{txt}                       Greens (Boselli) {c |}{res}          7        0.48       94.59
{txt}                          SDI (Bonelli) {c |}{res}          4        0.27       94.86
{txt}                Democratici di Sinistra {c |}{res}          9        0.62       95.48
{txt}                La Margherita (Rutelli) {c |}{res}          2        0.14       95.62
{txt}         List Pannella-Bonino (radical) {c |}{res}          7        0.48       96.10
{txt}                       Fiamma Tricolore {c |}{res}          6        0.41       96.51
{txt}               Force Italy (Berlusconi) {c |}{res}         26        1.78       98.29
{txt}               National Alliance (Fini) {c |}{res}         21        1.44       99.73
{txt}                         MPA (Lombardo) {c |}{res}          4        0.27      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,460      100.00
{txt}
{com}. tab Turnout_W5 if totalwaves==5

  {txt}Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}        131        6.45        6.45
{txt}       Voted {c |}{res}      1,901       93.55      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      2,032      100.00
{txt}
{com}. sum Partisan_ID if totalwaves==5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}      1,456    .4956507    .1739479          0          1
{txt}
{com}. sum Pol_Interest_W1 if totalwaves==5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}      2,060    .6161812    .2768909          0          1
{txt}
{com}. 
. //by CATI/CAWI
. sort Sample
{txt}
{com}. //Wave 1
. by Sample: tab Age_Cat01

{txt}{hline}
-> Sample = CATI

  Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,030       19.40       19.40
{txt}         .5 {c |}{res}      2,594       48.86       68.26
{txt}          1 {c |}{res}      1,685       31.74      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      5,309      100.00

{txt}{hline}
-> Sample = CAWI

  Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        503       33.62       33.62
{txt}         .5 {c |}{res}        786       52.54       86.16
{txt}          1 {c |}{res}        207       13.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,496      100.00

{txt}
{com}. by Sample: tab Gender

{txt}{hline}
-> Sample = CATI

     Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}      2,273       42.81       42.81
{txt}     Female {c |}{res}      3,036       57.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      5,309      100.00

{txt}{hline}
-> Sample = CAWI

     Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}        761       50.87       50.87
{txt}     Female {c |}{res}        735       49.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,496      100.00

{txt}
{com}. by Sample: tab Employment01

{txt}{hline}
-> Sample = CATI

Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,569       63.31       63.31
{txt}          1 {c |}{res}      1,489       36.69      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,058      100.00

{txt}{hline}
-> Sample = CAWI

Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        645       44.54       44.54
{txt}          1 {c |}{res}        803       55.46      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,448      100.00

{txt}
{com}. by Sample: tab Education

{txt}{hline}
-> Sample = CATI

                   higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}        116        2.18        2.18
{txt}                      Elementary school {c |}{res}      1,028       19.36       21.55
{txt}       Junior secondary License/Starter {c |}{res}      2,077       39.12       60.67
{txt}Professional qualification Diploma (2-3 {c |}{res}        407        7.67       68.34
{txt}          Vocational high school degree {c |}{res}        245        4.61       72.95
{txt}                      Technical Diploma {c |}{res}        518        9.76       82.71
{txt}High school diploma (humanities or scie {c |}{res}        304        5.73       88.43
{txt}                          Other Diploma {c |}{res}        179        3.37       91.81
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}        208        3.92       95.72
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}        211        3.97       99.70
{txt}    Title postgraduate (masters or PhD) {c |}{res}         16        0.30      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      5,309      100.00

{txt}{hline}
-> Sample = CAWI

                   higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}          8        0.53        0.53
{txt}                      Elementary school {c |}{res}         46        3.07        3.61
{txt}       Junior secondary License/Starter {c |}{res}        257       17.18       20.79
{txt}Professional qualification Diploma (2-3 {c |}{res}         91        6.08       26.87
{txt}          Vocational high school degree {c |}{res}         79        5.28       32.15
{txt}                      Technical Diploma {c |}{res}        337       22.53       54.68
{txt}High school diploma (humanities or scie {c |}{res}        212       14.17       68.85
{txt}                          Other Diploma {c |}{res}        108        7.22       76.07
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}        184       12.30       88.37
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}        121        8.09       96.46
{txt}    Title postgraduate (masters or PhD) {c |}{res}         53        3.54      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,496      100.00

{txt}
{com}. by Sample: tab noparty

{txt}{hline}
-> Sample = CATI

       1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,043       38.48       38.48
{txt}          1 {c |}{res}      3,266       61.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      5,309      100.00

{txt}{hline}
-> Sample = CAWI

       1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,274       85.10       85.10
{txt}          1 {c |}{res}        223       14.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,497      100.00

{txt}
{com}. by Sample: tab PartyID_W1

{txt}{hline}
-> Sample = CATI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        125        6.00        6.00
{txt}Communist Refoundation Party (Bertinott {c |}{res}         22        1.06        7.05
{txt}party of Italian Communists (Diliberto) {c |}{res}         10        0.48        7.53
{txt}             Democratic Party (Bersani) {c |}{res}        754       36.18       43.71
{txt}            Italy of values (Di Pietro) {c |}{res}        100        4.80       48.51
{txt}         people of freedom (Berlusconi) {c |}{res}        606       29.08       77.59
{txt}the future and freedom for Italy (Fini) {c |}{res}         63        3.02       80.61
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          4        0.19       80.81
{txt}                      Lega Nord (Bossi) {c |}{res}        207        9.93       90.74
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         97        4.65       95.39
{txt}                    The right (Storace) {c |}{res}         12        0.58       95.97
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         42        2.02       97.98
{txt}                       Greens (Boselli) {c |}{res}          5        0.24       98.22
{txt}                          SDI (Bonelli) {c |}{res}          2        0.10       98.32
{txt}                Democratici di Sinistra {c |}{res}          4        0.19       98.51
{txt}                La Margherita (Rutelli) {c |}{res}          1        0.05       98.56
{txt}         List Pannella-Bonino (radical) {c |}{res}          9        0.43       98.99
{txt}                       Fiamma Tricolore {c |}{res}          2        0.10       99.09
{txt}               Force Italy (Berlusconi) {c |}{res}          9        0.43       99.52
{txt}               National Alliance (Fini) {c |}{res}          9        0.43       99.95
{txt}                         MPA (Lombardo) {c |}{res}          1        0.05      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      2,084      100.00

{txt}{hline}
-> Sample = CAWI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        195       15.35       15.35
{txt}Communist Refoundation Party (Bertinott {c |}{res}         13        1.02       16.38
{txt}party of Italian Communists (Diliberto) {c |}{res}          7        0.55       16.93
{txt}             Democratic Party (Bersani) {c |}{res}        235       18.50       35.43
{txt}            Italy of values (Di Pietro) {c |}{res}         94        7.40       42.83
{txt}         people of freedom (Berlusconi) {c |}{res}        236       18.58       61.42
{txt}the future and freedom for Italy (Fini) {c |}{res}         71        5.59       67.01
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          2        0.16       67.17
{txt}                      Lega Nord (Bossi) {c |}{res}        139       10.94       78.11
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         60        4.72       82.83
{txt}                    The right (Storace) {c |}{res}         26        2.05       84.88
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         62        4.88       89.76
{txt}                       Greens (Boselli) {c |}{res}          7        0.55       90.31
{txt}                          SDI (Bonelli) {c |}{res}          5        0.39       90.71
{txt}                Democratici di Sinistra {c |}{res}         16        1.26       91.97
{txt}                La Margherita (Rutelli) {c |}{res}          4        0.31       92.28
{txt}         List Pannella-Bonino (radical) {c |}{res}         10        0.79       93.07
{txt}                       Fiamma Tricolore {c |}{res}         11        0.87       93.94
{txt}               Force Italy (Berlusconi) {c |}{res}         47        3.70       97.64
{txt}               National Alliance (Fini) {c |}{res}         26        2.05       99.69
{txt}                         MPA (Lombardo) {c |}{res}          4        0.31      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,270      100.00

{txt}
{com}. by Sample: tab Turnout_W5

{txt}{hline}
-> Sample = CATI

  Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}         63        5.46        5.46
{txt}       Voted {c |}{res}      1,090       94.54      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,153      100.00

{txt}{hline}
-> Sample = CAWI

  Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}         68        7.74        7.74
{txt}       Voted {c |}{res}        811       92.26      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}        879      100.00

{txt}
{com}. by Sample: sum Partisan_ID

{txt}{hline}
-> Sample = CATI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}      2,043    .4618109    .1950406          0          1

{txt}{hline}
-> Sample = CAWI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}      1,274    .5187868    .1585875          0          1

{txt}
{com}. by Sample: sum Pol_Interest_W1

{txt}{hline}
-> Sample = CATI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}      5,299    .3804492    .3047769          0          1

{txt}{hline}
-> Sample = CAWI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}      1,482     .717049     .238808          0          1

{txt}
{com}. 
. //Completed panel
. by Sample: tab Age_Cat01 if totalwaves==5

{txt}{hline}
-> Sample = CATI

  Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        202       17.43       17.43
{txt}         .5 {c |}{res}        668       57.64       75.06
{txt}          1 {c |}{res}        289       24.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,159      100.00

{txt}{hline}
-> Sample = CAWI

  Age_Cat01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        265       29.19       29.19
{txt}         .5 {c |}{res}        513       56.50       85.68
{txt}          1 {c |}{res}        130       14.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        908      100.00

{txt}
{com}. by Sample: tab Gender if totalwaves==5

{txt}{hline}
-> Sample = CATI

     Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}        594       51.25       51.25
{txt}     Female {c |}{res}        565       48.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,159      100.00

{txt}{hline}
-> Sample = CAWI

     Genere {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}        469       51.65       51.65
{txt}     Female {c |}{res}        439       48.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        908      100.00

{txt}
{com}. by Sample: tab Employment01 if totalwaves==5

{txt}{hline}
-> Sample = CATI

Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        721       62.21       62.21
{txt}          1 {c |}{res}        438       37.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,159      100.00

{txt}{hline}
-> Sample = CAWI

Employment0 {c |}
       1_W1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        368       41.87       41.87
{txt}          1 {c |}{res}        511       58.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        879      100.00

{txt}
{com}. by Sample: tab Education if totalwaves==5

{txt}{hline}
-> Sample = CATI

                   higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}          5        0.43        0.43
{txt}                      Elementary school {c |}{res}        113        9.75       10.18
{txt}       Junior secondary License/Starter {c |}{res}        442       38.14       48.32
{txt}Professional qualification Diploma (2-3 {c |}{res}         97        8.37       56.69
{txt}          Vocational high school degree {c |}{res}         80        6.90       63.59
{txt}                      Technical Diploma {c |}{res}        135       11.65       75.24
{txt}High school diploma (humanities or scie {c |}{res}         91        7.85       83.09
{txt}                          Other Diploma {c |}{res}         38        3.28       86.37
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}         76        6.56       92.92
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}         76        6.56       99.48
{txt}    Title postgraduate (masters or PhD) {c |}{res}          6        0.52      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,159      100.00

{txt}{hline}
-> Sample = CAWI

                   higest qualification {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                               No title {c |}{res}          6        0.66        0.66
{txt}                      Elementary school {c |}{res}         31        3.41        4.07
{txt}       Junior secondary License/Starter {c |}{res}        165       18.17       22.25
{txt}Professional qualification Diploma (2-3 {c |}{res}         53        5.84       28.08
{txt}          Vocational high school degree {c |}{res}         48        5.29       33.37
{txt}                      Technical Diploma {c |}{res}        208       22.91       56.28
{txt}High school diploma (humanities or scie {c |}{res}        117       12.89       69.16
{txt}                          Other Diploma {c |}{res}         66        7.27       76.43
{txt}Scientific Degree (4-5 years, Bachelor, {c |}{res}        108       11.89       88.33
{txt}Humanistic degree (4-5 years, Bachelor, {c |}{res}         71        7.82       96.15
{txt}    Title postgraduate (masters or PhD) {c |}{res}         35        3.85      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        908      100.00

{txt}
{com}. by Sample: tab noparty if totalwaves==5

{txt}{hline}
-> Sample = CATI

       1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        676       58.33       58.33
{txt}          1 {c |}{res}        483       41.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,159      100.00

{txt}{hline}
-> Sample = CAWI

       1=no {c |}
Partisan ID {c |}
     value; {c |}
   0=have a {c |}
partisan ID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        780       85.90       85.90
{txt}          1 {c |}{res}        128       14.10      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        908      100.00

{txt}
{com}. by Sample: tab PartyID_W1 if totalwaves==5

{txt}{hline}
-> Sample = CATI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}         54        7.93        7.93
{txt}Communist Refoundation Party (Bertinott {c |}{res}          3        0.44        8.37
{txt}party of Italian Communists (Diliberto) {c |}{res}          3        0.44        8.81
{txt}             Democratic Party (Bersani) {c |}{res}        278       40.82       49.63
{txt}            Italy of values (Di Pietro) {c |}{res}         38        5.58       55.21
{txt}         people of freedom (Berlusconi) {c |}{res}        154       22.61       77.83
{txt}the future and freedom for Italy (Fini) {c |}{res}         22        3.23       81.06
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          3        0.44       81.50
{txt}                      Lega Nord (Bossi) {c |}{res}         71       10.43       91.92
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         29        4.26       96.18
{txt}                    The right (Storace) {c |}{res}          4        0.59       96.77
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         12        1.76       98.53
{txt}                       Greens (Boselli) {c |}{res}          3        0.44       98.97
{txt}         List Pannella-Bonino (radical) {c |}{res}          2        0.29       99.27
{txt}                       Fiamma Tricolore {c |}{res}          1        0.15       99.41
{txt}               Force Italy (Berlusconi) {c |}{res}          1        0.15       99.56
{txt}               National Alliance (Fini) {c |}{res}          3        0.44      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        681      100.00

{txt}{hline}
-> Sample = CAWI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        114       14.63       14.63
{txt}Communist Refoundation Party (Bertinott {c |}{res}          7        0.90       15.53
{txt}party of Italian Communists (Diliberto) {c |}{res}          5        0.64       16.17
{txt}             Democratic Party (Bersani) {c |}{res}        159       20.41       36.59
{txt}            Italy of values (Di Pietro) {c |}{res}         73        9.37       45.96
{txt}         people of freedom (Berlusconi) {c |}{res}        136       17.46       63.41
{txt}the future and freedom for Italy (Fini) {c |}{res}         43        5.52       68.93
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          1        0.13       69.06
{txt}                      Lega Nord (Bossi) {c |}{res}         81       10.40       79.46
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         34        4.36       83.83
{txt}                    The right (Storace) {c |}{res}         12        1.54       85.37
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         38        4.88       90.24
{txt}                       Greens (Boselli) {c |}{res}          4        0.51       90.76
{txt}                          SDI (Bonelli) {c |}{res}          4        0.51       91.27
{txt}                Democratici di Sinistra {c |}{res}          9        1.16       92.43
{txt}                La Margherita (Rutelli) {c |}{res}          2        0.26       92.68
{txt}         List Pannella-Bonino (radical) {c |}{res}          5        0.64       93.32
{txt}                       Fiamma Tricolore {c |}{res}          5        0.64       93.97
{txt}               Force Italy (Berlusconi) {c |}{res}         25        3.21       97.18
{txt}               National Alliance (Fini) {c |}{res}         18        2.31       99.49
{txt}                         MPA (Lombardo) {c |}{res}          4        0.51      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        779      100.00

{txt}
{com}. by Sample: tab Turnout_W5 if totalwaves==5

{txt}{hline}
-> Sample = CATI

  Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}         63        5.46        5.46
{txt}       Voted {c |}{res}      1,090       94.54      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,153      100.00

{txt}{hline}
-> Sample = CAWI

  Turnout_W5 {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Did not vote {c |}{res}         68        7.74        7.74
{txt}       Voted {c |}{res}        811       92.26      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}        879      100.00

{txt}
{com}. by Sample: sum Partisan_ID if totalwaves==5

{txt}{hline}
-> Sample = CATI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        676    .4630709    .1886336          0          1

{txt}{hline}
-> Sample = CAWI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        780    .5238865    .1548012          0   .9166666

{txt}
{com}. by Sample: sum Pol_Interest_W1 if totalwaves==5

{txt}{hline}
-> Sample = CATI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}      1,159    .5329307    .2753965          0          1

{txt}{hline}
-> Sample = CAWI

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Pol_Intere~1 {c |}{res}        901    .7232705    .2396033          0          1

{txt}
{com}. 
. //difference in Partisan Identity Strength by CATI vs. CAWI
. //Wave 1
. ttest Partisan_ID, by(Sample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    CATI {c |}{res}{col 12}  2,043{col 22} .4618109{col 34} .0043151{col 46} .1950406{col 58} .4533485{col 70} .4702734
    {txt}CAWI {c |}{res}{col 12}  1,274{col 22} .5187868{col 34} .0044431{col 46} .1585875{col 58} .5100702{col 70} .5275033
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  3,317{col 22} .4836943{col 34} .0031945{col 46} .1839804{col 58}  .477431{col 70} .4899577
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0569758{col 34} .0064939{col 58}-.0697083{col 70}-.0442433
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}CATI{txt}) - mean({res}CAWI{txt})                                t = {res} -8.7737
{txt}Ho: diff = 0                                     degrees of freedom = {res}    3315

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. //Completed panel
. ttest Partisan_ID if totalwaves==5, by(Sample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
    CATI {c |}{res}{col 12}    676{col 22} .4630709{col 34} .0072551{col 46} .1886336{col 58} .4488255{col 70} .4773162
    {txt}CAWI {c |}{res}{col 12}    780{col 22} .5238865{col 34} .0055428{col 46} .1548012{col 58} .5130059{col 70}  .534767
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,456{col 22} .4956507{col 34} .0045587{col 46} .1739479{col 58} .4867084{col 70} .5045929
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0608156{col 34} .0090037{col 58}-.0784772{col 70} -.043154
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}CATI{txt}) - mean({res}CAWI{txt})                                t = {res} -6.7545
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1454

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. //look at Partisan Identity Strength of major parties
. //Wave 1
. //PD
. sum Partisan_ID if PartyID_W1 == 4

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        965    .4917073    .1743976          0          1
{txt}
{com}. //PDL
. sum Partisan_ID if PartyID_W1 == 6

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        822    .4928818    .2055849          0          1
{txt}
{com}. //M5S
. sum Partisan_ID if PartyID_W1 == 12

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        103    .5057646    .1642539   .0416667          1
{txt}
{com}. 
. //Completed panel
. //PD
. sum Partisan_ID if (PartyID_W1 == 4 & totalwaves==5)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        433    .5059272    .1649088          0   .9722222
{txt}
{com}. //PDL
. sum Partisan_ID if (PartyID_W1 == 6 & totalwaves==5)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}        289    .4979239    .2022774          0          1
{txt}
{com}. //M5S
. sum Partisan_ID if (PartyID_W1 == 12 & totalwaves==5)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}         50    .5140972    .1659305   .1111111   .8611112
{txt}
{com}. 
. 
. ************************************************
. * Table A3 - Party affiliations across samples *
. ************************************************
. //Wave 1
. tab PartyID_W1

                             {txt}PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        320        9.54        9.54
{txt}Communist Refoundation Party (Bertinott {c |}{res}         35        1.04       10.58
{txt}party of Italian Communists (Diliberto) {c |}{res}         17        0.51       11.09
{txt}             Democratic Party (Bersani) {c |}{res}        989       29.49       40.58
{txt}            Italy of values (Di Pietro) {c |}{res}        194        5.78       46.36
{txt}         people of freedom (Berlusconi) {c |}{res}        842       25.10       71.47
{txt}the future and freedom for Italy (Fini) {c |}{res}        134        4.00       75.46
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          6        0.18       75.64
{txt}                      Lega Nord (Bossi) {c |}{res}        346       10.32       85.96
{txt}UDC-Union of Christian and Centre Democ {c |}{res}        157        4.68       90.64
{txt}                    The right (Storace) {c |}{res}         38        1.13       91.77
{txt}            5 Star Movement 12 (Grillo) {c |}{res}        104        3.10       94.87
{txt}                       Greens (Boselli) {c |}{res}         12        0.36       95.23
{txt}                          SDI (Bonelli) {c |}{res}          7        0.21       95.44
{txt}                Democratici di Sinistra {c |}{res}         20        0.60       96.03
{txt}                La Margherita (Rutelli) {c |}{res}          5        0.15       96.18
{txt}         List Pannella-Bonino (radical) {c |}{res}         19        0.57       96.75
{txt}                       Fiamma Tricolore {c |}{res}         13        0.39       97.14
{txt}               Force Italy (Berlusconi) {c |}{res}         56        1.67       98.81
{txt}               National Alliance (Fini) {c |}{res}         35        1.04       99.85
{txt}                         MPA (Lombardo) {c |}{res}          5        0.15      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      3,354      100.00
{txt}
{com}. 
. //Completed panel
. tab PartyID_W1 if totalwaves==5

                             {txt}PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        168       11.51       11.51
{txt}Communist Refoundation Party (Bertinott {c |}{res}         10        0.68       12.19
{txt}party of Italian Communists (Diliberto) {c |}{res}          8        0.55       12.74
{txt}             Democratic Party (Bersani) {c |}{res}        437       29.93       42.67
{txt}            Italy of values (Di Pietro) {c |}{res}        111        7.60       50.27
{txt}         people of freedom (Berlusconi) {c |}{res}        290       19.86       70.14
{txt}the future and freedom for Italy (Fini) {c |}{res}         65        4.45       74.59
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          4        0.27       74.86
{txt}                      Lega Nord (Bossi) {c |}{res}        152       10.41       85.27
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         63        4.32       89.59
{txt}                    The right (Storace) {c |}{res}         16        1.10       90.68
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         50        3.42       94.11
{txt}                       Greens (Boselli) {c |}{res}          7        0.48       94.59
{txt}                          SDI (Bonelli) {c |}{res}          4        0.27       94.86
{txt}                Democratici di Sinistra {c |}{res}          9        0.62       95.48
{txt}                La Margherita (Rutelli) {c |}{res}          2        0.14       95.62
{txt}         List Pannella-Bonino (radical) {c |}{res}          7        0.48       96.10
{txt}                       Fiamma Tricolore {c |}{res}          6        0.41       96.51
{txt}               Force Italy (Berlusconi) {c |}{res}         26        1.78       98.29
{txt}               National Alliance (Fini) {c |}{res}         21        1.44       99.73
{txt}                         MPA (Lombardo) {c |}{res}          4        0.27      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,460      100.00
{txt}
{com}. 
. //By CATI vs. CAWI
. //Wave 1
. by Sample: tab PartyID_W1

{txt}{hline}
-> Sample = CATI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        125        6.00        6.00
{txt}Communist Refoundation Party (Bertinott {c |}{res}         22        1.06        7.05
{txt}party of Italian Communists (Diliberto) {c |}{res}         10        0.48        7.53
{txt}             Democratic Party (Bersani) {c |}{res}        754       36.18       43.71
{txt}            Italy of values (Di Pietro) {c |}{res}        100        4.80       48.51
{txt}         people of freedom (Berlusconi) {c |}{res}        606       29.08       77.59
{txt}the future and freedom for Italy (Fini) {c |}{res}         63        3.02       80.61
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          4        0.19       80.81
{txt}                      Lega Nord (Bossi) {c |}{res}        207        9.93       90.74
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         97        4.65       95.39
{txt}                    The right (Storace) {c |}{res}         12        0.58       95.97
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         42        2.02       97.98
{txt}                       Greens (Boselli) {c |}{res}          5        0.24       98.22
{txt}                          SDI (Bonelli) {c |}{res}          2        0.10       98.32
{txt}                Democratici di Sinistra {c |}{res}          4        0.19       98.51
{txt}                La Margherita (Rutelli) {c |}{res}          1        0.05       98.56
{txt}         List Pannella-Bonino (radical) {c |}{res}          9        0.43       98.99
{txt}                       Fiamma Tricolore {c |}{res}          2        0.10       99.09
{txt}               Force Italy (Berlusconi) {c |}{res}          9        0.43       99.52
{txt}               National Alliance (Fini) {c |}{res}          9        0.43       99.95
{txt}                         MPA (Lombardo) {c |}{res}          1        0.05      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      2,084      100.00

{txt}{hline}
-> Sample = CAWI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        195       15.35       15.35
{txt}Communist Refoundation Party (Bertinott {c |}{res}         13        1.02       16.38
{txt}party of Italian Communists (Diliberto) {c |}{res}          7        0.55       16.93
{txt}             Democratic Party (Bersani) {c |}{res}        235       18.50       35.43
{txt}            Italy of values (Di Pietro) {c |}{res}         94        7.40       42.83
{txt}         people of freedom (Berlusconi) {c |}{res}        236       18.58       61.42
{txt}the future and freedom for Italy (Fini) {c |}{res}         71        5.59       67.01
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          2        0.16       67.17
{txt}                      Lega Nord (Bossi) {c |}{res}        139       10.94       78.11
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         60        4.72       82.83
{txt}                    The right (Storace) {c |}{res}         26        2.05       84.88
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         62        4.88       89.76
{txt}                       Greens (Boselli) {c |}{res}          7        0.55       90.31
{txt}                          SDI (Bonelli) {c |}{res}          5        0.39       90.71
{txt}                Democratici di Sinistra {c |}{res}         16        1.26       91.97
{txt}                La Margherita (Rutelli) {c |}{res}          4        0.31       92.28
{txt}         List Pannella-Bonino (radical) {c |}{res}         10        0.79       93.07
{txt}                       Fiamma Tricolore {c |}{res}         11        0.87       93.94
{txt}               Force Italy (Berlusconi) {c |}{res}         47        3.70       97.64
{txt}               National Alliance (Fini) {c |}{res}         26        2.05       99.69
{txt}                         MPA (Lombardo) {c |}{res}          4        0.31      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,270      100.00

{txt}
{com}. 
. //Completed panel
. by Sample: tab PartyID_W1 if totalwaves==5

{txt}{hline}
-> Sample = CATI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}         54        7.93        7.93
{txt}Communist Refoundation Party (Bertinott {c |}{res}          3        0.44        8.37
{txt}party of Italian Communists (Diliberto) {c |}{res}          3        0.44        8.81
{txt}             Democratic Party (Bersani) {c |}{res}        278       40.82       49.63
{txt}            Italy of values (Di Pietro) {c |}{res}         38        5.58       55.21
{txt}         people of freedom (Berlusconi) {c |}{res}        154       22.61       77.83
{txt}the future and freedom for Italy (Fini) {c |}{res}         22        3.23       81.06
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          3        0.44       81.50
{txt}                      Lega Nord (Bossi) {c |}{res}         71       10.43       91.92
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         29        4.26       96.18
{txt}                    The right (Storace) {c |}{res}          4        0.59       96.77
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         12        1.76       98.53
{txt}                       Greens (Boselli) {c |}{res}          3        0.44       98.97
{txt}         List Pannella-Bonino (radical) {c |}{res}          2        0.29       99.27
{txt}                       Fiamma Tricolore {c |}{res}          1        0.15       99.41
{txt}               Force Italy (Berlusconi) {c |}{res}          1        0.15       99.56
{txt}               National Alliance (Fini) {c |}{res}          3        0.44      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        681      100.00

{txt}{hline}
-> Sample = CAWI

                             PartyID_W1 {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         left ecology freedom (Vendola) {c |}{res}        114       14.63       14.63
{txt}Communist Refoundation Party (Bertinott {c |}{res}          7        0.90       15.53
{txt}party of Italian Communists (Diliberto) {c |}{res}          5        0.64       16.17
{txt}             Democratic Party (Bersani) {c |}{res}        159       20.41       36.59
{txt}            Italy of values (Di Pietro) {c |}{res}         73        9.37       45.96
{txt}         people of freedom (Berlusconi) {c |}{res}        136       17.46       63.41
{txt}the future and freedom for Italy (Fini) {c |}{res}         43        5.52       68.93
{txt}        Alliance for Italy-PI (Rutelli) {c |}{res}          1        0.13       69.06
{txt}                      Lega Nord (Bossi) {c |}{res}         81       10.40       79.46
{txt}UDC-Union of Christian and Centre Democ {c |}{res}         34        4.36       83.83
{txt}                    The right (Storace) {c |}{res}         12        1.54       85.37
{txt}            5 Star Movement 12 (Grillo) {c |}{res}         38        4.88       90.24
{txt}                       Greens (Boselli) {c |}{res}          4        0.51       90.76
{txt}                          SDI (Bonelli) {c |}{res}          4        0.51       91.27
{txt}                Democratici di Sinistra {c |}{res}          9        1.16       92.43
{txt}                La Margherita (Rutelli) {c |}{res}          2        0.26       92.68
{txt}         List Pannella-Bonino (radical) {c |}{res}          5        0.64       93.32
{txt}                       Fiamma Tricolore {c |}{res}          5        0.64       93.97
{txt}               Force Italy (Berlusconi) {c |}{res}         25        3.21       97.18
{txt}               National Alliance (Fini) {c |}{res}         18        2.31       99.49
{txt}                         MPA (Lombardo) {c |}{res}          4        0.51      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}        779      100.00

{txt}
{com}. 
. ************************************************************************
. * Table A4 - Description and summary statistics of dependent variables *
. ************************************************************************
. ***********************
. * Dependent Variables *
. ***********************
. //Voting for M5S (partisans only)
. sum Grillo_ChamberorSenate

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Grillo_Cha~e {c |}{res}      1,460         .15    .3571938          0          1
{txt}
{com}. 
. //Voting for M5S (partisans and non-partisans)
. sum Grillo_ChamberorSenate_all if totalwaves == 5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Grillo_Cha~l {c |}{res}      2,067    .1582003     .365017          0          1
{txt}
{com}. 
. //Ratings of Grillo
. sum Grillo_W5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}Grillo_W5 {c |}{res}      2,030     .513009    .2166569          0          1
{txt}
{com}. 
. //Adjusted Ratings of Grillo [Grillo ratings minus average of every other leader's ratings]
. sum NewGrillo_CorrectedforNoParty_W5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
NewGrillo_~5 {c |}{res}      2,030    .1246703     .203404  -.6422727   .9090909
{txt}
{com}. 
. //Voting for the In-Party
. sum VotedInparty_SenateorChamber_W5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
V~orChambe~5 {c |}{res}      2,067    .3009192    .4587686          0          1
{txt}
{com}. 
. //In-Party Leader Ratings
. sum Inparty_Rating_W5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Inparty_Ra~5 {c |}{res}      1,383    .6046324    .2387207          0          1
{txt}
{com}. 
. *************************
. * Independent Variables *
. *************************
. //Partisan Identity Strength
. sum Partisan_ID if totalwaves == 5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Partisan_ID {c |}{res}      1,456    .4956507    .1739479          0          1
{txt}
{com}. 
. //Education
. sum Education01 if totalwaves == 5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}Education01 {c |}{res}      2,067    .4458636    .2586473          0          1
{txt}
{com}. 
. //Age
. sum Age_Cat01 if totalwaves == 5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}Age_Cat01 {c |}{res}      2,067     .488389    .3272264          0          1
{txt}
{com}. 
. //Employment
. sum Employment01 if totalwaves == 5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
Employment~1 {c |}{res}      2,038    .4656526    .4989413          0          1
{txt}
{com}. 
. *********************************************************************************
. * Table A5 - In-party vote using an issue-based ideology scale (IT_Ideology_IV) *
. *********************************************************************************
. *(1)
. logit VotedInparty_SenateorChamber_W5 Partisan_ID IT_Ideology_IV Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-483.60973}  
Iteration 1:{space 3}log likelihood = {res:-424.36327}  
Iteration 2:{space 3}log likelihood = {res: -424.2132}  
Iteration 3:{space 3}log likelihood = {res:-424.21318}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       706
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}    118.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-424.21318{txt}{col 49}Pseudo R2{col 67}= {res}    0.1228

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.540809{col 27}{space 2} .5011827{col 38}{space 1}    3.07{col 47}{space 3}0.002{col 55}{space 4} .5585085{col 68}{space 3} 2.523109
{txt}IT_Ideology~V {c |}{col 15}{res}{space 2} 1.419424{col 27}{space 2} .2695193{col 38}{space 1}    5.27{col 47}{space 3}0.000{col 55}{space 4} .8911759{col 68}{space 3} 1.947672
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2} .4941354{col 27}{space 2} .3621461{col 38}{space 1}    1.36{col 47}{space 3}0.172{col 55}{space 4} -.215658{col 68}{space 3} 1.203929
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.035443{col 27}{space 2} .2813983{col 38}{space 1}    3.68{col 47}{space 3}0.000{col 55}{space 4} .4839125{col 68}{space 3} 1.586974
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.2180549{col 27}{space 2} .1773309{col 38}{space 1}   -1.23{col 47}{space 3}0.219{col 55}{space 4}-.5656171{col 68}{space 3} .1295074
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-1.162448{col 27}{space 2} .1827609{col 38}{space 1}   -6.36{col 47}{space 3}0.000{col 55}{space 4}-1.520653{col 68}{space 3}-.8042431
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.623892{col 27}{space 2} .3628473{col 38}{space 1}   -4.48{col 47}{space 3}0.000{col 55}{space 4} -2.33506{col 68}{space 3}-.9127242
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2) Interaction issue alignment scale x Party
. logit VotedInparty_SenateorChamber_W5 Partisan_ID c.IT_Ideology_IV##i.rightWing_W1 c.IT_Ideology_IV##i.leftWing_W1 IT_Ideology_IV Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1

{txt}note: IT_Ideology_IV omitted because of collinearity
note: IT_Ideology_IV omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-483.60973}  
Iteration 1:{space 3}log likelihood = {res:-391.17016}  
Iteration 2:{space 3}log likelihood = {res:-390.26125}  
Iteration 3:{space 3}log likelihood = {res:-390.25825}  
Iteration 4:{space 3}log likelihood = {res:-390.25825}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       706
{txt}{col 49}LR chi2({res}10{txt}){col 67}= {res}    186.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-390.25825{txt}{col 49}Pseudo R2{col 67}= {res}    0.1930

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.538159{col 27}{space 2} .5298754{col 38}{space 1}    2.90{col 47}{space 3}0.004{col 55}{space 4} .4996228{col 68}{space 3} 2.576696
{txt}IT_Ideology~V {c |}{col 15}{res}{space 2} 1.555078{col 27}{space 2} .9057649{col 38}{space 1}    1.72{col 47}{space 3}0.086{col 55}{space 4}-.2201888{col 68}{space 3} 3.330344
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2}-.5048251{col 27}{space 2} .4660954{col 38}{space 1}   -1.08{col 47}{space 3}0.279{col 55}{space 4}-1.418355{col 68}{space 3} .4087051
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
IT_Ideology~V {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.7742091{col 27}{space 2} 1.081805{col 38}{space 1}   -0.72{col 47}{space 3}0.474{col 55}{space 4}-2.894507{col 68}{space 3} 1.346089
{txt}{space 13} {c |}
IT_Ideology~V {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2}  1.03565{col 27}{space 2} .4472201{col 38}{space 1}    2.32{col 47}{space 3}0.021{col 55}{space 4} .1591147{col 68}{space 3} 1.912185
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
IT_Ideology~V {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.7040256{col 27}{space 2} .9753534{col 38}{space 1}   -0.72{col 47}{space 3}0.470{col 55}{space 4}-2.615683{col 68}{space 3} 1.207632
{txt}{space 13} {c |}
IT_Ideology~V {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 2}Education01 {c |}{col 15}{res}{space 2} .2305855{col 27}{space 2} .3892772{col 38}{space 1}    0.59{col 47}{space 3}0.554{col 55}{space 4}-.5323839{col 68}{space 3} .9935548
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.136995{col 27}{space 2}  .297959{col 38}{space 1}    3.82{col 47}{space 3}0.000{col 55}{space 4} .5530056{col 68}{space 3} 1.720984
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.2437854{col 27}{space 2} .1866364{col 38}{space 1}   -1.31{col 47}{space 3}0.191{col 55}{space 4} -.609586{col 68}{space 3} .1220153
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-1.179043{col 27}{space 2} .1940069{col 38}{space 1}   -6.08{col 47}{space 3}0.000{col 55}{space 4} -1.55929{col 68}{space 3}-.7987968
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.729289{col 27}{space 2} .5513217{col 38}{space 1}   -3.14{col 47}{space 3}0.002{col 55}{space 4} -2.80986{col 68}{space 3}-.6487183
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *****************************************************************
. * Table A6 - Voting for M5S using an issue-based ideology scale *
. *****************************************************************
. logit Grillo_ChamberorSenate c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 IT_Ideology_IV  Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -315.3996}  
Iteration 1:{space 3}log likelihood = {res: -292.5376}  
Iteration 2:{space 3}log likelihood = {res:-289.83896}  
Iteration 3:{space 3}log likelihood = {res:-289.82007}  
Iteration 4:{space 3}log likelihood = {res:-289.82007}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       706
{txt}{col 49}LR chi2({res}10{txt}){col 67}= {res}     51.16
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-289.82007{txt}{col 49}Pseudo R2{col 67}= {res}    0.0811

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~e{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 2.537816{col 27}{space 2} 1.679835{col 38}{space 1}    1.51{col 47}{space 3}0.131{col 55}{space 4}-.7546006{col 68}{space 3} 5.830232
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} 1.283413{col 27}{space 2} 1.009421{col 38}{space 1}    1.27{col 47}{space 3}0.204{col 55}{space 4}-.6950152{col 68}{space 3} 3.261841
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-4.587807{col 27}{space 2} 1.895617{col 38}{space 1}   -2.42{col 47}{space 3}0.016{col 55}{space 4}-8.303149{col 68}{space 3}-.8724664
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2} .6882121{col 27}{space 2} 1.046413{col 38}{space 1}    0.66{col 47}{space 3}0.511{col 55}{space 4}-1.362719{col 68}{space 3} 2.739144
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-3.764284{col 27}{space 2} 1.943908{col 38}{space 1}   -1.94{col 47}{space 3}0.053{col 55}{space 4}-7.574272{col 68}{space 3} .0457053
{txt}{space 13} {c |}
IT_Ideology~V {c |}{col 15}{res}{space 2}-.7475346{col 27}{space 2} .3743804{col 38}{space 1}   -2.00{col 47}{space 3}0.046{col 55}{space 4}-1.481307{col 68}{space 3}-.0137625
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.7971033{col 27}{space 2} .4806102{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-1.739082{col 68}{space 3} .1448753
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.6245222{col 27}{space 2} .3753507{col 38}{space 1}   -1.66{col 47}{space 3}0.096{col 55}{space 4}-1.360196{col 68}{space 3} .1111517
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5069301{col 27}{space 2} .2258568{col 38}{space 1}    2.24{col 47}{space 3}0.025{col 55}{space 4}  .064259{col 68}{space 3} .9496013
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .4928685{col 27}{space 2} .2384247{col 38}{space 1}    2.07{col 47}{space 3}0.039{col 55}{space 4} .0255647{col 68}{space 3} .9601722
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.590468{col 27}{space 2} .9731077{col 38}{space 1}   -1.63{col 47}{space 3}0.102{col 55}{space 4}-3.497724{col 68}{space 3} .3167883
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *******************************************************************
. * Table A7 - Rating of Grillo using an issue-based ideology scale *
. *******************************************************************
. reg Grillo_W5 c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 IT_Ideology_IV  Education01 Age_Cat01 Employment01 Sample if totalwaves==5 
{p 0 6 2}{txt}note: Partisan_ID omitted because of collinearity{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}       752
{txt}{hline 13}{c +}{hline 34}   F(10, 741)      = {res}     3.44
{txt}       Model {c |} {res}  1.5739175        10   .15739175   {txt}Prob > F        ={res}    0.0002
{txt}    Residual {c |} {res}  33.864526       741  .045701115   {txt}R-squared       ={res}    0.0444
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0315
{txt}       Total {c |} {res} 35.4384435       751   .04718834   {txt}Root MSE        =   {res} .21378

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Grillo_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} .1391509{col 27}{space 2} .1514044{col 38}{space 1}    0.92{col 47}{space 3}0.358{col 55}{space 4}-.1580818{col 68}{space 3} .4363836
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} .0043894{col 27}{space 2} .0849135{col 38}{space 1}    0.05{col 47}{space 3}0.959{col 55}{space 4}-.1623103{col 68}{space 3} .1710891
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2288249{col 27}{space 2} .1635632{col 38}{space 1}   -1.40{col 47}{space 3}0.162{col 55}{space 4}-.5499274{col 68}{space 3} .0922776
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2} .1080208{col 27}{space 2} .0861221{col 38}{space 1}    1.25{col 47}{space 3}0.210{col 55}{space 4}-.0610515{col 68}{space 3} .2770931
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2935512{col 27}{space 2} .1649988{col 38}{space 1}   -1.78{col 47}{space 3}0.076{col 55}{space 4} -.617472{col 68}{space 3} .0303696
{txt}{space 13} {c |}
IT_Ideology~V {c |}{col 15}{res}{space 2}-.0568846{col 27}{space 2} .0263893{col 38}{space 1}   -2.16{col 47}{space 3}0.031{col 55}{space 4}-.1086912{col 68}{space 3} -.005078
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}  .010811{col 27}{space 2} .0339359{col 38}{space 1}    0.32{col 47}{space 3}0.750{col 55}{space 4} -.055811{col 68}{space 3}  .077433
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0078994{col 27}{space 2}   .02621{col 38}{space 1}   -0.30{col 47}{space 3}0.763{col 55}{space 4}-.0593542{col 68}{space 3} .0435553
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.0036042{col 27}{space 2} .0166874{col 38}{space 1}   -0.22{col 47}{space 3}0.829{col 55}{space 4}-.0363643{col 68}{space 3}  .029156
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .0122656{col 27}{space 2} .0172262{col 38}{space 1}    0.71{col 47}{space 3}0.477{col 55}{space 4}-.0215525{col 68}{space 3} .0460836
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .5265009{col 27}{space 2} .0818876{col 38}{space 1}    6.43{col 47}{space 3}0.000{col 55}{space 4} .3657417{col 68}{space 3} .6872601
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ************************************************************
. * Table A8 - Vote for the in-party (CATI vs. CAWI samples) *
. ************************************************************
. *(1) In-party Vote, CATI
. logit VotedInparty_SenateorChamber_W5 Partisan_ID  rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & PartyID_W1!=12 & Sample==0 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-430.21156}  
Iteration 1:{space 3}log likelihood = {res:-385.19352}  
Iteration 2:{space 3}log likelihood = {res: -384.9944}  
Iteration 3:{space 3}log likelihood = {res:-384.99438}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       634
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     90.43
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-384.99438{txt}{col 49}Pseudo R2{col 67}= {res}    0.1051

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.900993{col 27}{space 2} .4879754{col 38}{space 1}    3.90{col 47}{space 3}0.000{col 55}{space 4} .9445788{col 68}{space 3} 2.857407
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2} .7433089{col 27}{space 2} .4209833{col 38}{space 1}    1.77{col 47}{space 3}0.077{col 55}{space 4}-.0818032{col 68}{space 3} 1.568421
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2} 1.777477{col 27}{space 2} .4153304{col 38}{space 1}    4.28{col 47}{space 3}0.000{col 55}{space 4} .9634443{col 68}{space 3} 2.591509
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.2472089{col 27}{space 2} .3898418{col 38}{space 1}   -0.63{col 47}{space 3}0.526{col 55}{space 4}-1.011285{col 68}{space 3}  .516867
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.057089{col 27}{space 2} .3016461{col 38}{space 1}    3.50{col 47}{space 3}0.000{col 55}{space 4} .4658732{col 68}{space 3} 1.648304
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.2776893{col 27}{space 2} .1871945{col 38}{space 1}   -1.48{col 47}{space 3}0.138{col 55}{space 4}-.6445838{col 68}{space 3} .0892053
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.185275{col 27}{space 2} .5476046{col 38}{space 1}   -3.99{col 47}{space 3}0.000{col 55}{space 4} -3.25856{col 68}{space 3} -1.11199
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2) In-party Vote, CAWI
. logit VotedInparty_SenateorChamber_W5 Partisan_ID  rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & PartyID_W1!=12 & Sample==1 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-417.02934}  
Iteration 1:{space 3}log likelihood = {res:-341.33104}  
Iteration 2:{space 3}log likelihood = {res:-336.37327}  
Iteration 3:{space 3}log likelihood = {res: -335.6589}  
Iteration 4:{space 3}log likelihood = {res:-335.55472}  
Iteration 5:{space 3}log likelihood = {res:-335.54285}  
Iteration 6:{space 3}log likelihood = {res:-335.54046}  
Iteration 7:{space 3}log likelihood = {res:-335.53995}  
Iteration 8:{space 3}log likelihood = {res:-335.53984}  
Iteration 9:{space 3}log likelihood = {res:-335.53981}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       667
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}    162.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-335.53981{txt}{col 49}Pseudo R2{col 67}= {res}    0.1954

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.911574{col 27}{space 2} .6820388{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4}  .574802{col 68}{space 3} 3.248345
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2}  13.2791{col 27}{space 2} 387.3654{col 38}{space 1}    0.03{col 47}{space 3}0.973{col 55}{space 4}-745.9432{col 68}{space 3} 772.5014
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2} 15.36848{col 27}{space 2} 387.3654{col 38}{space 1}    0.04{col 47}{space 3}0.968{col 55}{space 4}-743.8538{col 68}{space 3} 774.5907
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2} .9764444{col 27}{space 2} .4077275{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .1773131{col 68}{space 3} 1.775576
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.048886{col 27}{space 2} .3142461{col 38}{space 1}    3.34{col 47}{space 3}0.001{col 55}{space 4} .4329753{col 68}{space 3} 1.664797
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.1635173{col 27}{space 2} .1946281{col 38}{space 1}   -0.84{col 47}{space 3}0.401{col 55}{space 4}-.5449814{col 68}{space 3} .2179468
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-17.26009{col 27}{space 2} 387.3658{col 38}{space 1}   -0.04{col 47}{space 3}0.964{col 55}{space 4} -776.483{col 68}{space 3} 741.9628
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(3) In-party Vote w. interaction, CATI
. logit VotedInparty_SenateorChamber_W5 c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1  Education01 Age_Cat01 Employment01 if totalwaves==5 & PartyID_W1!=12 & Sample==0 & Turnout_W5==1

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-430.21156}  
Iteration 1:{space 3}log likelihood = {res:-382.05228}  
Iteration 2:{space 3}log likelihood = {res:-381.78817}  
Iteration 3:{space 3}log likelihood = {res:-381.78808}  
Iteration 4:{space 3}log likelihood = {res:-381.78808}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       634
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     96.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-381.78808{txt}{col 49}Pseudo R2{col 67}= {res}    0.1126

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}-4.166237{col 27}{space 2} 2.627914{col 38}{space 1}   -1.59{col 47}{space 3}0.113{col 55}{space 4}-9.316853{col 68}{space 3} .9843793
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2}-1.924266{col 27}{space 2} 1.165584{col 38}{space 1}   -1.65{col 47}{space 3}0.099{col 55}{space 4}-4.208768{col 68}{space 3} .3602359
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2} 6.423007{col 27}{space 2}    2.721{col 38}{space 1}    2.36{col 47}{space 3}0.018{col 55}{space 4} 1.089945{col 68}{space 3} 11.75607
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2}-.7900795{col 27}{space 2} 1.156627{col 38}{space 1}   -0.68{col 47}{space 3}0.495{col 55}{space 4}-3.057027{col 68}{space 3} 1.476868
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2} 6.211107{col 27}{space 2}  2.71387{col 38}{space 1}    2.29{col 47}{space 3}0.022{col 55}{space 4} .8920191{col 68}{space 3} 11.53019
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.2636596{col 27}{space 2} .3910051{col 38}{space 1}   -0.67{col 47}{space 3}0.500{col 55}{space 4}-1.030016{col 68}{space 3} .5026963
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}  1.07008{col 27}{space 2}  .302465{col 38}{space 1}    3.54{col 47}{space 3}0.000{col 55}{space 4} .4772595{col 68}{space 3} 1.662901
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.2652547{col 27}{space 2} .1880419{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4}-.6338101{col 68}{space 3} .1033007
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  .313363{col 27}{space 2} 1.148282{col 38}{space 1}    0.27{col 47}{space 3}0.785{col 55}{space 4}-1.937228{col 68}{space 3} 2.563954
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(4) In-party Vote w. interaction, CAWI
. logit VotedInparty_SenateorChamber_W5 c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1  Education01 Age_Cat01 Employment01 if totalwaves==5 & PartyID_W1!=12 & Sample==1 & Turnout_W5==1

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-417.02934}  
Iteration 1:{space 3}log likelihood = {res:-341.02342}  
Iteration 2:{space 3}log likelihood = {res:-336.16438}  
Iteration 3:{space 3}log likelihood = {res:-335.48156}  
Iteration 4:{space 3}log likelihood = {res:-335.36886}  
Iteration 5:{space 3}log likelihood = {res:-335.34321}  
Iteration 6:{space 3}log likelihood = {res: -335.3369}  
Iteration 7:{space 3}log likelihood = {res:-335.33566}  
Iteration 8:{space 3}log likelihood = {res:-335.33546}  
Iteration 9:{space 3}log likelihood = {res:-335.33541}  
Iteration 10:{space 2}log likelihood = {res: -335.3354}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       667
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}    163.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -335.3354{txt}{col 49}Pseudo R2{col 67}= {res}    0.1959

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}-.4931225{col 27}{space 2} 4366.878{col 38}{space 1}   -0.00{col 47}{space 3}1.000{col 55}{space 4}-8559.416{col 68}{space 3}  8558.43
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} 13.45763{col 27}{space 2} 2404.014{col 38}{space 1}    0.01{col 47}{space 3}0.996{col 55}{space 4}-4698.323{col 68}{space 3} 4725.238
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2} 1.708893{col 27}{space 2} 4366.878{col 38}{space 1}    0.00{col 47}{space 3}1.000{col 55}{space 4}-8557.214{col 68}{space 3} 8560.632
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2} 15.01559{col 27}{space 2} 2404.014{col 38}{space 1}    0.01{col 47}{space 3}0.995{col 55}{space 4}-4696.765{col 68}{space 3} 4726.796
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2} 2.670242{col 27}{space 2} 4366.878{col 38}{space 1}    0.00{col 47}{space 3}1.000{col 55}{space 4}-8556.253{col 68}{space 3} 8561.593
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} 1.001114{col 27}{space 2} .4098686{col 38}{space 1}    2.44{col 47}{space 3}0.015{col 55}{space 4} .1977869{col 68}{space 3} 1.804442
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.065104{col 27}{space 2} .3156447{col 38}{space 1}    3.37{col 47}{space 3}0.001{col 55}{space 4} .4464522{col 68}{space 3} 1.683757
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.1614739{col 27}{space 2} .1948985{col 38}{space 1}   -0.83{col 47}{space 3}0.407{col 55}{space 4} -.543468{col 68}{space 3} .2205202
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-17.07131{col 27}{space 2} 2404.014{col 38}{space 1}   -0.01{col 47}{space 3}0.994{col 55}{space 4}-4728.852{col 68}{space 3} 4694.709
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *****************************************************
. * Table A9 - Voting for M5S (CATI vs. CAWI samples) *
. *****************************************************
. *(1) Partisan ID interaction, CATI
. logit Grillo_ChamberorSenate c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0 & Turnout_W5==1

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-235.86847}  
Iteration 1:{space 3}log likelihood = {res:-221.55749}  
Iteration 2:{space 3}log likelihood = {res:-219.06001}  
Iteration 3:{space 3}log likelihood = {res:-219.04964}  
Iteration 4:{space 3}log likelihood = {res:-219.04964}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       645
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     33.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-219.04964{txt}{col 49}Pseudo R2{col 67}= {res}    0.0713

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~e{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} .6393817{col 27}{space 2} 2.113487{col 38}{space 1}    0.30{col 47}{space 3}0.762{col 55}{space 4}-3.502978{col 68}{space 3} 4.781741
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} .3321524{col 27}{space 2}  1.07095{col 38}{space 1}    0.31{col 47}{space 3}0.756{col 55}{space 4}-1.766871{col 68}{space 3} 2.431176
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-3.430898{col 27}{space 2} 2.362275{col 38}{space 1}   -1.45{col 47}{space 3}0.146{col 55}{space 4}-8.060871{col 68}{space 3} 1.199076
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2}-.6720469{col 27}{space 2} 1.085536{col 38}{space 1}   -0.62{col 47}{space 3}0.536{col 55}{space 4}-2.799658{col 68}{space 3} 1.455564
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-2.074257{col 27}{space 2}  2.35607{col 38}{space 1}   -0.88{col 47}{space 3}0.379{col 55}{space 4}-6.692069{col 68}{space 3} 2.543555
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.6624319{col 27}{space 2} .5887778{col 38}{space 1}   -1.13{col 47}{space 3}0.261{col 55}{space 4}-1.816415{col 68}{space 3} .4915513
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.7963236{col 27}{space 2} .4503745{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-1.679041{col 68}{space 3} .0863943
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .4988713{col 27}{space 2} .2632297{col 38}{space 1}    1.90{col 47}{space 3}0.058{col 55}{space 4}-.0170495{col 68}{space 3} 1.014792
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -.576926{col 27}{space 2}  1.08966{col 38}{space 1}   -0.53{col 47}{space 3}0.596{col 55}{space 4} -2.71262{col 68}{space 3} 1.558768
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2) Partisan ID interaction, CAWI
. logit Grillo_ChamberorSenate c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1 & Turnout_W5==1

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-346.08242}  
Iteration 1:{space 3}log likelihood = {res:-332.29718}  
Iteration 2:{space 3}log likelihood = {res:-331.56467}  
Iteration 3:{space 3}log likelihood = {res:-331.56433}  
Iteration 4:{space 3}log likelihood = {res:-331.56433}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       700
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     29.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log likelihood = {res}-331.56433{txt}{col 49}Pseudo R2{col 67}= {res}    0.0419

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~e{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.725995{col 27}{space 2} 1.713041{col 38}{space 1}    1.01{col 47}{space 3}0.314{col 55}{space 4}-1.631504{col 68}{space 3} 5.083493
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} .9129585{col 27}{space 2} 1.078519{col 38}{space 1}    0.85{col 47}{space 3}0.397{col 55}{space 4}  -1.2009{col 68}{space 3} 3.026817
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2} -3.29402{col 27}{space 2}   1.9457{col 38}{space 1}   -1.69{col 47}{space 3}0.090{col 55}{space 4}-7.107522{col 68}{space 3} .5194816
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2}-.3715111{col 27}{space 2} 1.120209{col 38}{space 1}   -0.33{col 47}{space 3}0.740{col 55}{space 4} -2.56708{col 68}{space 3} 1.824058
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-1.273592{col 27}{space 2} 1.994897{col 38}{space 1}   -0.64{col 47}{space 3}0.523{col 55}{space 4}-5.183518{col 68}{space 3} 2.636335
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} -.908688{col 27}{space 2} .4373439{col 38}{space 1}   -2.08{col 47}{space 3}0.038{col 55}{space 4}-1.765866{col 68}{space 3}-.0515096
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.5797526{col 27}{space 2} .3409315{col 38}{space 1}   -1.70{col 47}{space 3}0.089{col 55}{space 4}-1.247966{col 68}{space 3} .0884609
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5231682{col 27}{space 2} .2100261{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .1115246{col 68}{space 3} .9348119
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.109964{col 27}{space 2} 1.002656{col 38}{space 1}   -1.11{col 47}{space 3}0.268{col 55}{space 4}-3.075134{col 68}{space 3} .8552057
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *****************************************************
. * Table A10 - Grillo rating (CATI vs. CAWI samples) *
. *****************************************************
. *(1)Partisan ID, CATI
. reg Grillo_W5 c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0
{p 0 6 2}{txt}note: Partisan_ID omitted because of collinearity{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}       670
{txt}{hline 13}{c +}{hline 34}   F(8, 661)       = {res}     4.62
{txt}       Model {c |} {res} 1.67088027         8  .208860034   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 29.8724526       661  .045192818   {txt}R-squared       ={res}    0.0530
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0415
{txt}       Total {c |} {res} 31.5433328       669  .047149974   {txt}Root MSE        =   {res} .21259

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Grillo_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} .0934727{col 27}{space 2}  .188303{col 38}{space 1}    0.50{col 47}{space 3}0.620{col 55}{space 4}-.2762715{col 68}{space 3} .4632169
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} .0102325{col 27}{space 2} .0930793{col 38}{space 1}    0.11{col 47}{space 3}0.912{col 55}{space 4}-.1725342{col 68}{space 3} .1929992
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2023717{col 27}{space 2}  .198998{col 38}{space 1}   -1.02{col 47}{space 3}0.310{col 55}{space 4}-.5931161{col 68}{space 3} .1883727
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2} .0700551{col 27}{space 2} .0925975{col 38}{space 1}    0.76{col 47}{space 3}0.450{col 55}{space 4}-.1117657{col 68}{space 3} .2518759
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2010953{col 27}{space 2} .1983037{col 38}{space 1}   -1.01{col 47}{space 3}0.311{col 55}{space 4}-.5904764{col 68}{space 3} .1882857
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} -.020706{col 27}{space 2}  .036914{col 38}{space 1}   -0.56{col 47}{space 3}0.575{col 55}{space 4}-.0931888{col 68}{space 3} .0517768
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0822808{col 27}{space 2} .0280466{col 38}{space 1}   -2.93{col 47}{space 3}0.003{col 55}{space 4}-.1373519{col 68}{space 3}-.0272097
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0307422{col 27}{space 2} .0181264{col 38}{space 1}    1.70{col 47}{space 3}0.090{col 55}{space 4}  -.00485{col 68}{space 3} .0663345
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .5677451{col 27}{space 2} .0926691{col 38}{space 1}    6.13{col 47}{space 3}0.000{col 55}{space 4} .3857837{col 68}{space 3} .7497064
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *(2)Partisan ID, CAWI
. reg Grillo_W5 c.Partisan_ID##i.rightWing_W1 c.Partisan_ID##i.leftWing_W1 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1
{p 0 6 2}{txt}note: Partisan_ID omitted because of collinearity{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}       748
{txt}{hline 13}{c +}{hline 34}   F(8, 739)       = {res}     2.82
{txt}       Model {c |} {res} .917846068         8  .114730758   {txt}Prob > F        ={res}    0.0043
{txt}    Residual {c |} {res} 30.0220595       739   .04062525   {txt}R-squared       ={res}    0.0297
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0192
{txt}       Total {c |} {res} 30.9399056       747  .041418883   {txt}Root MSE        =   {res} .20156

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Grillo_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} .1581788{col 27}{space 2} .1514829{col 38}{space 1}    1.04{col 47}{space 3}0.297{col 55}{space 4}-.1392092{col 68}{space 3} .4555668
{txt}1.rightWing~1 {c |}{col 15}{res}{space 2} .0016482{col 27}{space 2} .0913572{col 38}{space 1}    0.02{col 47}{space 3}0.986{col 55}{space 4}-.1777025{col 68}{space 3} .1809988
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2062804{col 27}{space 2}  .166766{col 38}{space 1}   -1.24{col 47}{space 3}0.217{col 55}{space 4}-.5336719{col 68}{space 3} .1211112
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.leftWing_W1 {c |}{col 15}{res}{space 2} .0195037{col 27}{space 2} .0927371{col 38}{space 1}    0.21{col 47}{space 3}0.833{col 55}{space 4}-.1625557{col 68}{space 3} .2015632
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1543748{col 27}{space 2}  .168553{col 38}{space 1}   -0.92{col 47}{space 3}0.360{col 55}{space 4}-.4852745{col 68}{space 3}  .176525
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.0012683{col 27}{space 2} .0322691{col 38}{space 1}   -0.04{col 47}{space 3}0.969{col 55}{space 4}-.0646183{col 68}{space 3} .0620818
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0265688{col 27}{space 2} .0247788{col 38}{space 1}   -1.07{col 47}{space 3}0.284{col 55}{space 4} -.075214{col 68}{space 3} .0220763
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.0072242{col 27}{space 2} .0153309{col 38}{space 1}   -0.47{col 47}{space 3}0.638{col 55}{space 4}-.0373215{col 68}{space 3}  .022873
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .5250835{col 27}{space 2} .0855706{col 38}{space 1}    6.14{col 47}{space 3}0.000{col 55}{space 4} .3570931{col 68}{space 3}  .693074
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ***************************************************************************************************************
. * Table A11 - Grillo voting and rating among all respondents, including non-partisans (CATI vs. CAWI samples) *
. ***************************************************************************************************************
. *(1) Voting, CATI
. logit Grillo_ChamberorSenate_all noparty Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-452.87379}  
Iteration 1:{space 3}log likelihood = {res:-439.26326}  
Iteration 2:{space 3}log likelihood = {res:-438.89824}  
Iteration 3:{space 3}log likelihood = {res: -438.8979}  
Iteration 4:{space 3}log likelihood = {res: -438.8979}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,090
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     27.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -438.8979{txt}{col 49}Pseudo R2{col 67}= {res}    0.0309

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2} .4914792{col 27}{space 2} .1740265{col 38}{space 1}    2.82{col 47}{space 3}0.005{col 55}{space 4} .1503934{col 68}{space 3} .8325649
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0846441{col 27}{space 2} .3735427{col 38}{space 1}   -0.23{col 47}{space 3}0.821{col 55}{space 4}-.8167743{col 68}{space 3} .6474861
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.8245936{col 27}{space 2} .2982883{col 38}{space 1}   -2.76{col 47}{space 3}0.006{col 55}{space 4}-1.409228{col 68}{space 3}-.2399593
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .4702712{col 27}{space 2} .1799303{col 38}{space 1}    2.61{col 47}{space 3}0.009{col 55}{space 4} .1176142{col 68}{space 3} .8229282
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.745656{col 27}{space 2} .2739152{col 38}{space 1}   -6.37{col 47}{space 3}0.000{col 55}{space 4} -2.28252{col 68}{space 3}-1.208792
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *(2) Voting, CAWI
. logit Grillo_ChamberorSenate_all noparty Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-404.36101}  
Iteration 1:{space 3}log likelihood = {res:-393.24557}  
Iteration 2:{space 3}log likelihood = {res:-392.99469}  
Iteration 3:{space 3}log likelihood = {res:-392.99454}  
Iteration 4:{space 3}log likelihood = {res:-392.99454}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       788
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     22.73
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log likelihood = {res}-392.99454{txt}{col 49}Pseudo R2{col 67}= {res}    0.0281

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2} .6880855{col 27}{space 2} .2532629{col 38}{space 1}    2.72{col 47}{space 3}0.007{col 55}{space 4} .1916992{col 68}{space 3} 1.184472
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.6336135{col 27}{space 2} .3867104{col 38}{space 1}   -1.64{col 47}{space 3}0.101{col 55}{space 4}-1.391552{col 68}{space 3}  .124325
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.4486711{col 27}{space 2} .3086133{col 38}{space 1}   -1.45{col 47}{space 3}0.146{col 55}{space 4}-1.053542{col 68}{space 3} .1561998
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .6664491{col 27}{space 2}  .194203{col 38}{space 1}    3.43{col 47}{space 3}0.001{col 55}{space 4} .2858184{col 68}{space 3}  1.04708
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.315488{col 27}{space 2} .3023089{col 38}{space 1}   -4.35{col 47}{space 3}0.000{col 55}{space 4}-1.908002{col 68}{space 3}-.7229731
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(3) Interaction with Education, CATI
. logit Grillo_ChamberorSenate_all noparty##c.Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-452.87379}  
Iteration 1:{space 3}log likelihood = {res:-438.78156}  
Iteration 2:{space 3}log likelihood = {res:-438.31804}  
Iteration 3:{space 3}log likelihood = {res:-438.31748}  
Iteration 4:{space 3}log likelihood = {res:-438.31748}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,090
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     29.11
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-438.31748{txt}{col 49}Pseudo R2{col 67}= {res}    0.0321

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2} .1834906{col 27}{space 2} .3350649{col 38}{space 1}    0.55{col 47}{space 3}0.584{col 55}{space 4}-.4732246{col 68}{space 3} .8402058
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.4782175{col 27}{space 2} .5301833{col 38}{space 1}   -0.90{col 47}{space 3}0.367{col 55}{space 4}-1.517358{col 68}{space 3} .5609227
{txt}{space 13} {c |}
{space 6}noparty#{c |}
c.Education01 {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .7592608{col 27}{space 2} .7069252{col 38}{space 1}    1.07{col 47}{space 3}0.283{col 55}{space 4} -.626287{col 68}{space 3} 2.144809
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.8467632{col 27}{space 2} .2994889{col 38}{space 1}   -2.83{col 47}{space 3}0.005{col 55}{space 4}-1.433751{col 68}{space 3}-.2597757
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .4705944{col 27}{space 2} .1800865{col 38}{space 1}    2.61{col 47}{space 3}0.009{col 55}{space 4} .1176314{col 68}{space 3} .8235574
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.578846{col 27}{space 2} .3130815{col 38}{space 1}   -5.04{col 47}{space 3}0.000{col 55}{space 4}-2.192474{col 68}{space 3}-.9652171
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *(4) Interaction with Education, CAWI
. logit Grillo_ChamberorSenate_all noparty##c.Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-404.36101}  
Iteration 1:{space 3}log likelihood = {res:-390.74108}  
Iteration 2:{space 3}log likelihood = {res:-390.17719}  
Iteration 3:{space 3}log likelihood = {res:-390.17703}  
Iteration 4:{space 3}log likelihood = {res:-390.17703}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       788
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     28.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-390.17703{txt}{col 49}Pseudo R2{col 67}= {res}    0.0351

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2}-.5122144{col 27}{space 2} .5932552{col 38}{space 1}   -0.86{col 47}{space 3}0.388{col 55}{space 4}-1.674973{col 68}{space 3} .6505444
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-1.012059{col 27}{space 2} .4213658{col 38}{space 1}   -2.40{col 47}{space 3}0.016{col 55}{space 4} -1.83792{col 68}{space 3}-.1861968
{txt}{space 13} {c |}
{space 6}noparty#{c |}
c.Education01 {c |}
{space 11}1  {c |}{col 15}{res}{space 2} 2.340858{col 27}{space 2} 1.006502{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .3681497{col 68}{space 3} 4.313566
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.4609149{col 27}{space 2}  .310692{col 38}{space 1}   -1.48{col 47}{space 3}0.138{col 55}{space 4} -1.06986{col 68}{space 3} .1480302
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .6506916{col 27}{space 2} .1942094{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4} .2700481{col 68}{space 3} 1.031335
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.101021{col 27}{space 2} .3148337{col 38}{space 1}   -3.50{col 47}{space 3}0.000{col 55}{space 4}-1.718084{col 68}{space 3} -.483958
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(5) Rating, CATI
. reg NewGrillo_CorrectedforNoParty_W5 noparty Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,149
{txt}{hline 13}{c +}{hline 34}   F(4, 1144)      = {res}    22.25
{txt}       Model {c |} {res} 3.82752801         4  .956882003   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 49.2005262     1,144  .043007453   {txt}R-squared       ={res}    0.0722
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0689
{txt}       Total {c |} {res} 53.0280542     1,148  .046191685   {txt}Root MSE        =   {res} .20738

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2} .0179205{col 27}{space 2} .0124329{col 38}{space 1}    1.44{col 47}{space 3}0.150{col 55}{space 4}-.0064733{col 68}{space 3} .0423143
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0445725{col 27}{space 2} .0264323{col 38}{space 1}   -1.69{col 47}{space 3}0.092{col 55}{space 4}-.0964338{col 68}{space 3} .0072887
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.1412881{col 27}{space 2} .0203247{col 38}{space 1}   -6.95{col 47}{space 3}0.000{col 55}{space 4} -.181166{col 68}{space 3}-.1014101
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0577802{col 27}{space 2} .0133254{col 38}{space 1}    4.34{col 47}{space 3}0.000{col 55}{space 4} .0316353{col 68}{space 3}  .083925
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1548425{col 27}{space 2} .0193852{col 38}{space 1}    7.99{col 47}{space 3}0.000{col 55}{space 4} .1168081{col 68}{space 3}  .192877
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *(6) Rating, CAWI
. reg NewGrillo_CorrectedforNoParty_W5 noparty Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       856
{txt}{hline 13}{c +}{hline 34}   F(4, 851)       = {res}     2.01
{txt}       Model {c |} {res} .253094147         4  .063273537   {txt}Prob > F        ={res}    0.0909
{txt}    Residual {c |} {res} 26.7660523       851   .03145247   {txt}R-squared       ={res}    0.0094
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0047
{txt}       Total {c |} {res} 27.0191464       855  .031601341   {txt}Root MSE        =   {res} .17735

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2}  .026199{col 27}{space 2} .0186397{col 38}{space 1}    1.41{col 47}{space 3}0.160{col 55}{space 4}-.0103862{col 68}{space 3} .0627842
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2} .0014335{col 27}{space 2} .0260973{col 38}{space 1}    0.05{col 47}{space 3}0.956{col 55}{space 4} -.049789{col 68}{space 3}  .052656
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0429682{col 27}{space 2} .0199922{col 38}{space 1}   -2.15{col 47}{space 3}0.032{col 55}{space 4}-.0822079{col 68}{space 3}-.0037285
{txt}Employment0~1 {c |}{col 15}{res}{space 2}  .006264{col 27}{space 2} .0125475{col 38}{space 1}    0.50{col 47}{space 3}0.618{col 55}{space 4}-.0183636{col 68}{space 3} .0308917
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1810248{col 27}{space 2} .0203229{col 38}{space 1}    8.91{col 47}{space 3}0.000{col 55}{space 4} .1411359{col 68}{space 3} .2209136
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *(7) Interaction with Education, CATI
. reg NewGrillo_CorrectedforNoParty_W5 noparty##c.Education01 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==0
{p 0 6 2}{txt}note: Education01 omitted because of collinearity{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,149
{txt}{hline 13}{c +}{hline 34}   F(5, 1143)      = {res}    18.19
{txt}       Model {c |} {res} 3.90920393         5  .781840785   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 49.1188503     1,143  .042973622   {txt}R-squared       ={res}    0.0737
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0697
{txt}       Total {c |} {res} 53.0280542     1,148  .046191685   {txt}Root MSE        =   {res}  .2073

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2} -.008684{col 27}{space 2} .0229535{col 38}{space 1}   -0.38{col 47}{space 3}0.705{col 55}{space 4}-.0537197{col 68}{space 3} .0363517
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0742633{col 27}{space 2} .0340872{col 38}{space 1}   -2.18{col 47}{space 3}0.030{col 55}{space 4}-.1411438{col 68}{space 3}-.0073828
{txt}{space 13} {c |}
{space 6}noparty#{c |}
c.Education01 {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .0690556{col 27}{space 2} .0500902{col 38}{space 1}    1.38{col 47}{space 3}0.168{col 55}{space 4}-.0292235{col 68}{space 3} .1673348
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.1426328{col 27}{space 2} .0203401{col 38}{space 1}   -7.01{col 47}{space 3}0.000{col 55}{space 4} -.182541{col 68}{space 3}-.1027246
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0574878{col 27}{space 2} .0133218{col 38}{space 1}    4.32{col 47}{space 3}0.000{col 55}{space 4} .0313498{col 68}{space 3} .0836257
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1670521{col 27}{space 2} .0213055{col 38}{space 1}    7.84{col 47}{space 3}0.000{col 55}{space 4} .1252499{col 68}{space 3} .2088544
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *(8) Interaction with Education, CAWI
. reg NewGrillo_CorrectedforNoParty_W5 noparty##c.Education01 Education01 Age_Cat01 Employment01 if totalwaves==5 & Sample==1
{p 0 6 2}{txt}note: Education01 omitted because of collinearity{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}       856
{txt}{hline 13}{c +}{hline 34}   F(5, 850)       = {res}     2.35
{txt}       Model {c |} {res} .368571888         5  .073714378   {txt}Prob > F        ={res}    0.0392
{txt}    Residual {c |} {res} 26.6505746       850  .031353617   {txt}R-squared       ={res}    0.0136
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0078
{txt}       Total {c |} {res} 27.0191464       855  .031601341   {txt}Root MSE        =   {res} .17707

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2}-.0420608{col 27}{space 2} .0401426{col 38}{space 1}   -1.05{col 47}{space 3}0.295{col 55}{space 4}-.1208512{col 68}{space 3} .0367295
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0163813{col 27}{space 2} .0276603{col 38}{space 1}   -0.59{col 47}{space 3}0.554{col 55}{space 4}-.0706719{col 68}{space 3} .0379093
{txt}{space 13} {c |}
{space 6}noparty#{c |}
c.Education01 {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .1372773{col 27}{space 2} .0715309{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0031205{col 68}{space 3} .2776752
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0420775{col 27}{space 2} .0199661{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4}-.0812662{col 68}{space 3}-.0028889
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0057438{col 27}{space 2} .0125307{col 38}{space 1}    0.46{col 47}{space 3}0.647{col 55}{space 4}-.0188509{col 68}{space 3} .0303385
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  .190549{col 27}{space 2}  .020889{col 38}{space 1}    9.12{col 47}{space 3}0.000{col 55}{space 4} .1495489{col 68}{space 3} .2315491
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ***********************************************************************
. * Table A12 - In-party vote without interactions with party variables *
. ***********************************************************************
. *(1)
. logit VotedInparty_SenateorChamber_W5 Partisan_ID rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-894.76763}  
Iteration 1:{space 3}log likelihood = {res:-736.40972}  
Iteration 2:{space 3}log likelihood = {res: -734.8699}  
Iteration 3:{space 3}log likelihood = {res:-734.86393}  
Iteration 4:{space 3}log likelihood = {res:-734.86393}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,301
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}    319.81
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-734.86393{txt}{col 49}Pseudo R2{col 67}= {res}    0.1787

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 1.901783{col 27}{space 2} .3956412{col 38}{space 1}    4.81{col 47}{space 3}0.000{col 55}{space 4}  1.12634{col 68}{space 3} 2.677225
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2} .8459145{col 27}{space 2} .3770614{col 38}{space 1}    2.24{col 47}{space 3}0.025{col 55}{space 4} .1068877{col 68}{space 3} 1.584941
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2} 2.330192{col 27}{space 2} .3731842{col 38}{space 1}    6.24{col 47}{space 3}0.000{col 55}{space 4} 1.598764{col 68}{space 3} 3.061619
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2} .2894063{col 27}{space 2} .2805277{col 38}{space 1}    1.03{col 47}{space 3}0.302{col 55}{space 4} -.260418{col 68}{space 3} .8392305
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.020199{col 27}{space 2} .2143418{col 38}{space 1}    4.76{col 47}{space 3}0.000{col 55}{space 4} .6000969{col 68}{space 3} 1.440301
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.2623867{col 27}{space 2} .1334029{col 38}{space 1}   -1.97{col 47}{space 3}0.049{col 55}{space 4}-.5238516{col 68}{space 3}-.0009218
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-1.240857{col 27}{space 2} .1418356{col 38}{space 1}   -8.75{col 47}{space 3}0.000{col 55}{space 4}-1.518849{col 68}{space 3} -.962864
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.724055{col 27}{space 2} .4564596{col 38}{space 1}   -5.97{col 47}{space 3}0.000{col 55}{space 4}-3.618699{col 68}{space 3}-1.829411
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2)
. logit VotedInparty_SenateorChamber_W5 PID_Strength rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-827.08835}  
Iteration 1:{space 3}log likelihood = {res:-665.54131}  
Iteration 2:{space 3}log likelihood = {res:-664.24989}  
Iteration 3:{space 3}log likelihood = {res:-664.24743}  
Iteration 4:{space 3}log likelihood = {res:-664.24743}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,197
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}    325.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-664.24743{txt}{col 49}Pseudo R2{col 67}= {res}    0.1969

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}V~rChamber_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}PID_Strength {c |}{col 15}{res}{space 2} 1.264179{col 27}{space 2} .1877997{col 38}{space 1}    6.73{col 47}{space 3}0.000{col 55}{space 4}  .896098{col 68}{space 3} 1.632259
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2} .9284314{col 27}{space 2} .3997534{col 38}{space 1}    2.32{col 47}{space 3}0.020{col 55}{space 4} .1449292{col 68}{space 3} 1.711934
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2}  2.49048{col 27}{space 2} .3965164{col 38}{space 1}    6.28{col 47}{space 3}0.000{col 55}{space 4} 1.713322{col 68}{space 3} 3.267637
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2} .1901961{col 27}{space 2} .2936838{col 38}{space 1}    0.65{col 47}{space 3}0.517{col 55}{space 4}-.3854136{col 68}{space 3} .7658057
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} 1.189547{col 27}{space 2} .2262542{col 38}{space 1}    5.26{col 47}{space 3}0.000{col 55}{space 4} .7460973{col 68}{space 3} 1.632997
{txt}Employment0~1 {c |}{col 15}{res}{space 2} -.225916{col 27}{space 2} .1402593{col 38}{space 1}   -1.61{col 47}{space 3}0.107{col 55}{space 4}-.5008191{col 68}{space 3} .0489871
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-1.271304{col 27}{space 2} .1449897{col 38}{space 1}   -8.77{col 47}{space 3}0.000{col 55}{space 4}-1.555479{col 68}{space 3}-.9871295
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -2.32834{col 27}{space 2} .4479665{col 38}{space 1}   -5.20{col 47}{space 3}0.000{col 55}{space 4}-3.206339{col 68}{space 3}-1.450342
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ************************************************************************
. * Table A13 - Voting for M5S without interactions with party variables *
. ************************************************************************
. *(1)
. logit Grillo_ChamberorSenate Partisan_ID rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-589.36213}  
Iteration 1:{space 3}log likelihood = {res:-558.39591}  
Iteration 2:{space 3}log likelihood = {res:-555.94793}  
Iteration 3:{space 3}log likelihood = {res:-555.94223}  
Iteration 4:{space 3}log likelihood = {res:-555.94223}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,345
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}     66.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-555.94223{txt}{col 49}Pseudo R2{col 67}= {res}    0.0567

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~e{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} -1.00769{col 27}{space 2} .4664544{col 38}{space 1}   -2.16{col 47}{space 3}0.031{col 55}{space 4}-1.921924{col 68}{space 3}-.0934566
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2}-.9144355{col 27}{space 2} .2411884{col 38}{space 1}   -3.79{col 47}{space 3}0.000{col 55}{space 4}-1.387156{col 68}{space 3} -.441715
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2}-1.240827{col 27}{space 2}  .240078{col 38}{space 1}   -5.17{col 47}{space 3}0.000{col 55}{space 4}-1.711371{col 68}{space 3}-.7702826
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.8275856{col 27}{space 2} .3482366{col 38}{space 1}   -2.38{col 47}{space 3}0.017{col 55}{space 4}-1.510117{col 68}{space 3}-.1450545
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.6398939{col 27}{space 2} .2676128{col 38}{space 1}   -2.39{col 47}{space 3}0.017{col 55}{space 4}-1.164405{col 68}{space 3}-.1153825
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5241855{col 27}{space 2} .1626615{col 38}{space 1}    3.22{col 47}{space 3}0.001{col 55}{space 4} .2053748{col 68}{space 3} .8429962
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .5631288{col 27}{space 2} .1730408{col 38}{space 1}    3.25{col 47}{space 3}0.001{col 55}{space 4}  .223975{col 68}{space 3} .9022825
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -.118918{col 27}{space 2} .3790781{col 38}{space 1}   -0.31{col 47}{space 3}0.754{col 55}{space 4}-.8618975{col 68}{space 3} .6240615
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2)
. logit Grillo_ChamberorSenate PID_Strength rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01  Sample if totalwaves==5 & Turnout_W5==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-523.50805}  
Iteration 1:{space 3}log likelihood = {res:-489.89103}  
Iteration 2:{space 3}log likelihood = {res:-486.72997}  
Iteration 3:{space 3}log likelihood = {res:-486.71761}  
Iteration 4:{space 3}log likelihood = {res:-486.71761}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,236
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}     73.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-486.71761{txt}{col 49}Pseudo R2{col 67}= {res}    0.0703

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~e{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-.8634977{col 27}{space 2} .2416823{col 38}{space 1}   -3.57{col 47}{space 3}0.000{col 55}{space 4}-1.337186{col 68}{space 3}-.3898092
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2}-.9777881{col 27}{space 2} .2589094{col 38}{space 1}   -3.78{col 47}{space 3}0.000{col 55}{space 4}-1.485241{col 68}{space 3} -.470335
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2}  -1.2319{col 27}{space 2} .2547333{col 38}{space 1}   -4.84{col 47}{space 3}0.000{col 55}{space 4}-1.731168{col 68}{space 3}-.7326319
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.8465134{col 27}{space 2} .3776733{col 38}{space 1}   -2.24{col 47}{space 3}0.025{col 55}{space 4}-1.586739{col 68}{space 3}-.1062873
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.8191524{col 27}{space 2} .2863605{col 38}{space 1}   -2.86{col 47}{space 3}0.004{col 55}{space 4}-1.380409{col 68}{space 3}-.2578962
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5515463{col 27}{space 2} .1741182{col 38}{space 1}    3.17{col 47}{space 3}0.002{col 55}{space 4} .2102809{col 68}{space 3} .8928117
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}  .598987{col 27}{space 2} .1814574{col 38}{space 1}    3.30{col 47}{space 3}0.001{col 55}{space 4}  .243337{col 68}{space 3}  .954637
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.3170517{col 27}{space 2} .3484708{col 38}{space 1}   -0.91{col 47}{space 3}0.363{col 55}{space 4}-1.000042{col 68}{space 3} .3659385
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. **************************************************************************
. * Table A14 - Rating of Grillo without interactions with party variables *
. **************************************************************************
. *(1)Partisan ID
. reg Grillo_W5 Partisan_ID rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,418
{txt}{hline 13}{c +}{hline 34}   F(7, 1410)      = {res}     6.92
{txt}       Model {c |} {res} 2.07559581         7  .296513687   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 60.4247496     1,410  .042854432   {txt}R-squared       ={res}    0.0332
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0284
{txt}       Total {c |} {res} 62.5003455     1,417  .044107513   {txt}Root MSE        =   {res} .20701

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Grillo_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}-.0596794{col 27}{space 2} .0329178{col 38}{space 1}   -1.81{col 47}{space 3}0.070{col 55}{space 4}-.1242524{col 68}{space 3} .0048937
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2}-.0940935{col 27}{space 2} .0212791{col 38}{space 1}   -4.42{col 47}{space 3}0.000{col 55}{space 4}-.1358356{col 68}{space 3}-.0523514
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2}-.0411676{col 27}{space 2} .0208955{col 38}{space 1}   -1.97{col 47}{space 3}0.049{col 55}{space 4}-.0821572{col 68}{space 3}-.0001779
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0118258{col 27}{space 2} .0242281{col 38}{space 1}   -0.49{col 47}{space 3}0.626{col 55}{space 4}-.0593529{col 68}{space 3} .0357012
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0561225{col 27}{space 2} .0183986{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-.0922141{col 68}{space 3}-.0200309
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0135879{col 27}{space 2} .0116398{col 38}{space 1}    1.17{col 47}{space 3}0.243{col 55}{space 4}-.0092454{col 68}{space 3} .0364211
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-.0104144{col 27}{space 2} .0120939{col 38}{space 1}   -0.86{col 47}{space 3}0.389{col 55}{space 4}-.0341384{col 68}{space 3} .0133096
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .6408914{col 27}{space 2} .0298567{col 38}{space 1}   21.47{col 47}{space 3}0.000{col 55}{space 4} .5823231{col 68}{space 3} .6994597
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *(2)
. reg Grillo_W5 PID_Strength rightWing_W1 leftWing_W1 Education01 Age_Cat01 Employment01  Sample if totalwaves==5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,298
{txt}{hline 13}{c +}{hline 34}   F(7, 1290)      = {res}     8.76
{txt}       Model {c |} {res} 2.61484485         7  .373549264   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 55.0136293     1,290  .042646224   {txt}R-squared       ={res}    0.0454
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0402
{txt}       Total {c |} {res} 57.6284742     1,297  .044432131   {txt}Root MSE        =   {res} .20651

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Grillo_W5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-.0266659{col 27}{space 2} .0154277{col 38}{space 1}   -1.73{col 47}{space 3}0.084{col 55}{space 4} -.056932{col 68}{space 3} .0036003
{txt}{space 1}rightWing_W1 {c |}{col 15}{res}{space 2} -.103886{col 27}{space 2} .0224435{col 38}{space 1}   -4.63{col 47}{space 3}0.000{col 55}{space 4}-.1479159{col 68}{space 3}-.0598562
{txt}{space 2}leftWing_W1 {c |}{col 15}{res}{space 2}-.0431684{col 27}{space 2}  .021989{col 38}{space 1}   -1.96{col 47}{space 3}0.050{col 55}{space 4}-.0863064{col 68}{space 3}-.0000303
{txt}{space 2}Education01 {c |}{col 15}{res}{space 2}-.0151403{col 27}{space 2} .0252407{col 38}{space 1}   -0.60{col 47}{space 3}0.549{col 55}{space 4}-.0646575{col 68}{space 3}  .034377
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.0750034{col 27}{space 2} .0189545{col 38}{space 1}   -3.96{col 47}{space 3}0.000{col 55}{space 4}-.1121884{col 68}{space 3}-.0378184
{txt}Employment0~1 {c |}{col 15}{res}{space 2}  .020417{col 27}{space 2}  .012143{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-.0034053{col 68}{space 3} .0442392
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}-.0115471{col 27}{space 2} .0123125{col 38}{space 1}   -0.94{col 47}{space 3}0.349{col 55}{space 4}-.0357018{col 68}{space 3} .0126076
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .6338475{col 27}{space 2}  .027471{col 38}{space 1}   23.07{col 47}{space 3}0.000{col 55}{space 4} .5799548{col 68}{space 3} .6877402
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *****************************************************************************************************************************
. * Table A15 - Voting for M5S and ratings of Grillo among partisans and non-partisans using a categorical education variable *
. *****************************************************************************************************************************
. *(1) Voting for M5S
. logit Grillo_ChamberorSenate_all noparty i.EducationCat Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1, noomit

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-863.62795}  
Iteration 1:{space 3}log likelihood = {res:-833.52788}  
Iteration 2:{space 3}log likelihood = {res:-832.74804}  
Iteration 3:{space 3}log likelihood = {res:-832.74711}  
Iteration 4:{space 3}log likelihood = {res:-832.74711}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,878
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     61.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-832.74711{txt}{col 49}Pseudo R2{col 67}= {res}    0.0358

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2} .5632247{col 27}{space 2} .1441948{col 38}{space 1}    3.91{col 47}{space 3}0.000{col 55}{space 4}  .280608{col 68}{space 3} .8458414
{txt}{space 13} {c |}
{space 1}EducationCat {c |}
High Schoo..  {c |}{col 15}{res}{space 2}-.1024607{col 27}{space 2} .1512146{col 38}{space 1}   -0.68{col 47}{space 3}0.498{col 55}{space 4}-.3988359{col 68}{space 3} .1939146
{txt}College de..  {c |}{col 15}{res}{space 2}-.3352373{col 27}{space 2} .1894793{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-.7066099{col 68}{space 3} .0361352
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.6322293{col 27}{space 2} .2168072{col 38}{space 1}   -2.92{col 47}{space 3}0.004{col 55}{space 4}-1.057164{col 68}{space 3} -.207295
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5804833{col 27}{space 2} .1314694{col 38}{space 1}    4.42{col 47}{space 3}0.000{col 55}{space 4} .3228081{col 68}{space 3} .8381586
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .5083215{col 27}{space 2}  .141029{col 38}{space 1}    3.60{col 47}{space 3}0.000{col 55}{space 4} .2319098{col 68}{space 3} .7847332
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.879654{col 27}{space 2} .1907647{col 38}{space 1}   -9.85{col 47}{space 3}0.000{col 55}{space 4}-2.253546{col 68}{space 3}-1.505762
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(2) Voting for M5S: Interaction with Education
. logit Grillo_ChamberorSenate_all noparty##i.EducationCat Age_Cat01 Employment01 Sample if totalwaves==5 & Turnout_W5==1, noomit

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-863.62795}  
Iteration 1:{space 3}log likelihood = {res:-831.46443}  
Iteration 2:{space 3}log likelihood = {res:-830.49993}  
Iteration 3:{space 3}log likelihood = {res:-830.49871}  
Iteration 4:{space 3}log likelihood = {res:-830.49871}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,878
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     66.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-830.49871{txt}{col 49}Pseudo R2{col 67}= {res}    0.0384

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Grillo_Cham~l{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2} .3040708{col 27}{space 2} .2068176{col 38}{space 1}    1.47{col 47}{space 3}0.141{col 55}{space 4}-.1012841{col 68}{space 3} .7094258
{txt}{space 13} {c |}
{space 1}EducationCat {c |}
High Schoo..  {c |}{col 15}{res}{space 2}-.2346231{col 27}{space 2} .1796787{col 38}{space 1}   -1.31{col 47}{space 3}0.192{col 55}{space 4}-.5867868{col 68}{space 3} .1175407
{txt}College de..  {c |}{col 15}{res}{space 2}-.6036233{col 27}{space 2} .2313597{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4} -1.05708{col 68}{space 3}-.1501665
{txt}{space 13} {c |}
{space 6}noparty#{c |}
{space 1}EducationCat {c |}
{space 11}1 #{c |}
High Schoo..  {c |}{col 15}{res}{space 2} .3411055{col 27}{space 2} .2972215{col 38}{space 1}    1.15{col 47}{space 3}0.251{col 55}{space 4}-.2414379{col 68}{space 3} .9236489
{txt}{space 11}1 #{c |}
College de..  {c |}{col 15}{res}{space 2} .7804166{col 27}{space 2} .3727041{col 38}{space 1}    2.09{col 47}{space 3}0.036{col 55}{space 4}   .04993{col 68}{space 3} 1.510903
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.6570572{col 27}{space 2} .2176288{col 38}{space 1}   -3.02{col 47}{space 3}0.003{col 55}{space 4}-1.083602{col 68}{space 3}-.2305125
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5742786{col 27}{space 2} .1314967{col 38}{space 1}    4.37{col 47}{space 3}0.000{col 55}{space 4} .3165498{col 68}{space 3} .8320074
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .5331222{col 27}{space 2} .1413669{col 38}{space 1}    3.77{col 47}{space 3}0.000{col 55}{space 4} .2560482{col 68}{space 3} .8101962
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.772428{col 27}{space 2} .1971208{col 38}{space 1}   -8.99{col 47}{space 3}0.000{col 55}{space 4}-2.158778{col 68}{space 3}-1.386078
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *(3)Grillo Rating
. reg NewGrillo_CorrectedforNoParty_W5 noparty i.EducationCat Age_Cat01 Employment01 Sample if totalwaves==5, noomit

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,005
{txt}{hline 13}{c +}{hline 34}   F(6, 1998)      = {res}    27.68
{txt}       Model {c |} {res} 6.38055619         6  1.06342603   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  76.755406     1,998  .038416119   {txt}R-squared       ={res}    0.0767
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0740
{txt}       Total {c |} {res} 83.1359622     2,004  .041485011   {txt}Root MSE        =   {res}   .196

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}noparty {c |}{col 15}{res}{space 2} .0203413{col 27}{space 2}  .010202{col 38}{space 1}    1.99{col 47}{space 3}0.046{col 55}{space 4} .0003337{col 68}{space 3}  .040349
{txt}{space 13} {c |}
{space 1}EducationCat {c |}
High Schoo..  {c |}{col 15}{res}{space 2}-.0035875{col 27}{space 2} .0107332{col 38}{space 1}   -0.33{col 47}{space 3}0.738{col 55}{space 4} -.024637{col 68}{space 3}  .017462
{txt}College de..  {c |}{col 15}{res}{space 2}-.0211267{col 27}{space 2} .0131664{col 38}{space 1}   -1.60{col 47}{space 3}0.109{col 55}{space 4}-.0469479{col 68}{space 3} .0046946
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.1009298{col 27}{space 2} .0146117{col 38}{space 1}   -6.91{col 47}{space 3}0.000{col 55}{space 4}-.1295856{col 68}{space 3} -.072274
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0373779{col 27}{space 2} .0092992{col 38}{space 1}    4.02{col 47}{space 3}0.000{col 55}{space 4} .0191408{col 68}{space 3}  .055615
{txt}{space 7}Sample {c |}{col 15}{res}{space 2}  .068881{col 27}{space 2}   .00984{col 38}{space 1}    7.00{col 47}{space 3}0.000{col 55}{space 4} .0495833{col 68}{space 3} .0881788
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1267041{col 27}{space 2}  .013095{col 38}{space 1}    9.68{col 47}{space 3}0.000{col 55}{space 4} .1010227{col 68}{space 3} .1523854
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *(4) Grillo Rating: Interaction with Education
. reg NewGrillo_CorrectedforNoParty_W5 noparty##i.EducationCat i.EducationCat Age_Cat01 Employment01 Sample if totalwaves==5, noomit

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,005
{txt}{hline 13}{c +}{hline 34}   F(8, 1996)      = {res}    21.11
{txt}       Model {c |} {res} 6.48550962         8  .810688703   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 76.6504526     1,996   .03840203   {txt}R-squared       ={res}    0.0780
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0743
{txt}       Total {c |} {res} 83.1359622     2,004  .041485011   {txt}Root MSE        =   {res} .19596

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}NewGrillo_C~5{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.noparty {c |}{col 15}{res}{space 2} .0042861{col 27}{space 2} .0141019{col 38}{space 1}    0.30{col 47}{space 3}0.761{col 55}{space 4}-.0233699{col 68}{space 3}  .031942
{txt}{space 13} {c |}
{space 1}EducationCat {c |}
High Schoo..  {c |}{col 15}{res}{space 2}-.0132074{col 27}{space 2} .0124525{col 38}{space 1}   -1.06{col 47}{space 3}0.289{col 55}{space 4}-.0376287{col 68}{space 3} .0112138
{txt}College de..  {c |}{col 15}{res}{space 2}-.0315292{col 27}{space 2} .0153168{col 38}{space 1}   -2.06{col 47}{space 3}0.040{col 55}{space 4}-.0615678{col 68}{space 3}-.0014906
{txt}{space 13} {c |}
{space 6}noparty#{c |}
{space 1}EducationCat {c |}
{space 11}1 #{c |}
High Schoo..  {c |}{col 15}{res}{space 2}   .03106{col 27}{space 2} .0216121{col 38}{space 1}    1.44{col 47}{space 3}0.151{col 55}{space 4}-.0113246{col 68}{space 3} .0734447
{txt}{space 11}1 #{c |}
College de..  {c |}{col 15}{res}{space 2} .0345125{col 27}{space 2} .0277712{col 38}{space 1}    1.24{col 47}{space 3}0.214{col 55}{space 4}-.0199511{col 68}{space 3}  .088976
{txt}{space 13} {c |}
{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-.1011088{col 27}{space 2} .0146385{col 38}{space 1}   -6.91{col 47}{space 3}0.000{col 55}{space 4}-.1298172{col 68}{space 3}-.0724005
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0369486{col 27}{space 2} .0093012{col 38}{space 1}    3.97{col 47}{space 3}0.000{col 55}{space 4} .0187076{col 68}{space 3} .0551896
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} .0704049{col 27}{space 2} .0098815{col 38}{space 1}    7.12{col 47}{space 3}0.000{col 55}{space 4} .0510257{col 68}{space 3} .0897841
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1320706{col 27}{space 2} .0134925{col 38}{space 1}    9.79{col 47}{space 3}0.000{col 55}{space 4} .1056097{col 68}{space 3} .1585316
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *******************************************************************************************************************************************************
. * Table A16 - Multinomial logistic regression of leaving the in-party and abstaining, using partisan identity strength as a main independent variable *
. *******************************************************************************************************************************************************
. mlogit Vote_Type_new2 c.Partisan_ID##i.leftWing_W1 c.Partisan_ID##i.rightWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12, baseoutcome(3)

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1564.1797}  
Iteration 1:{space 3}log likelihood = {res: -1381.507}  
Iteration 2:{space 3}log likelihood = {res:-1377.6753}  
Iteration 3:{space 3}log likelihood = {res:-1377.6279}  
Iteration 4:{space 3}log likelihood = {res:-1377.6278}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     1,377
{txt}{col 49}LR chi2({res}27{txt}){col 67}= {res}    373.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1377.6278{txt}{col 49}Pseudo R2{col 67}= {res}    0.1193

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Vote_Type_n~2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Grillo        {txt}{c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 6.043944{col 27}{space 2}  3.12055{col 38}{space 1}    1.94{col 47}{space 3}0.053{col 55}{space 4}-.0722205{col 68}{space 3} 12.16011
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2} 1.390132{col 27}{space 2} 1.564315{col 38}{space 1}    0.89{col 47}{space 3}0.374{col 55}{space 4}-1.675869{col 68}{space 3} 4.456134
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-7.386639{col 27}{space 2} 3.218209{col 38}{space 1}   -2.30{col 47}{space 3}0.022{col 55}{space 4}-13.69421{col 68}{space 3}-1.079065
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} 3.249746{col 27}{space 2} 1.554721{col 38}{space 1}    2.09{col 47}{space 3}0.037{col 55}{space 4} .2025478{col 68}{space 3} 6.296944
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-8.626349{col 27}{space 2} 3.207508{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-14.91295{col 68}{space 3} -2.33975
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} -.867561{col 27}{space 2} .4069538{col 38}{space 1}   -2.13{col 47}{space 3}0.033{col 55}{space 4}-1.665176{col 68}{space 3}-.0699463
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.158939{col 27}{space 2} .3138608{col 38}{space 1}   -3.69{col 47}{space 3}0.000{col 55}{space 4}-1.774095{col 68}{space 3}-.5437832
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .5915988{col 27}{space 2} .1904751{col 38}{space 1}    3.11{col 47}{space 3}0.002{col 55}{space 4} .2182744{col 68}{space 3} .9649232
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.301585{col 27}{space 2}  .204232{col 38}{space 1}    6.37{col 47}{space 3}0.000{col 55}{space 4} .9012977{col 68}{space 3} 1.701872
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.409231{col 27}{space 2} 1.528371{col 38}{space 1}   -1.58{col 47}{space 3}0.115{col 55}{space 4}-5.404782{col 68}{space 3} .5863199
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}another_party {txt}{c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 4.102487{col 27}{space 2} 2.368588{col 38}{space 1}    1.73{col 47}{space 3}0.083{col 55}{space 4}-.5398598{col 68}{space 3} 8.744833
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2} .6380465{col 27}{space 2} 1.042137{col 38}{space 1}    0.61{col 47}{space 3}0.540{col 55}{space 4}-1.404504{col 68}{space 3} 2.680597
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-6.929738{col 27}{space 2} 2.435094{col 38}{space 1}   -2.85{col 47}{space 3}0.004{col 55}{space 4}-11.70243{col 68}{space 3}-2.157041
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} 1.412296{col 27}{space 2} 1.048987{col 38}{space 1}    1.35{col 47}{space 3}0.178{col 55}{space 4}-.6436811{col 68}{space 3} 3.468273
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-5.300933{col 27}{space 2} 2.435948{col 38}{space 1}   -2.18{col 47}{space 3}0.030{col 55}{space 4} -10.0753{col 68}{space 3}-.5265632
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} -.132514{col 27}{space 2} .2941623{col 38}{space 1}   -0.45{col 47}{space 3}0.652{col 55}{space 4}-.7090615{col 68}{space 3} .4440335
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} -1.01494{col 27}{space 2}  .224365{col 38}{space 1}   -4.52{col 47}{space 3}0.000{col 55}{space 4}-1.454687{col 68}{space 3}-.5751925
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .1306971{col 27}{space 2} .1408164{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4} -.145298{col 68}{space 3} .4066922
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.244263{col 27}{space 2} .1497497{col 38}{space 1}    8.31{col 47}{space 3}0.000{col 55}{space 4} .9507585{col 68}{space 3} 1.537767
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.1220061{col 27}{space 2} 1.020409{col 38}{space 1}   -0.12{col 47}{space 3}0.905{col 55}{space 4} -2.12197{col 68}{space 3} 1.877958
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}inparty      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}abstain       {txt}{c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 3.404204{col 27}{space 2} 3.436336{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4} -3.33089{col 68}{space 3}  10.1393
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-.4728727{col 27}{space 2} 1.744067{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-3.891182{col 68}{space 3} 2.945436
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-5.023632{col 27}{space 2} 3.718684{col 38}{space 1}   -1.35{col 47}{space 3}0.177{col 55}{space 4}-12.31212{col 68}{space 3} 2.264856
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} 1.815522{col 27}{space 2} 1.649959{col 38}{space 1}    1.10{col 47}{space 3}0.271{col 55}{space 4}-1.418339{col 68}{space 3} 5.049382
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-6.295746{col 27}{space 2} 3.576328{col 38}{space 1}   -1.76{col 47}{space 3}0.078{col 55}{space 4}-13.30522{col 68}{space 3} .7137289
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.3184514{col 27}{space 2} .6215799{col 38}{space 1}   -0.51{col 47}{space 3}0.608{col 55}{space 4}-1.536726{col 68}{space 3} .8998229
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.160322{col 27}{space 2} .4648615{col 38}{space 1}   -2.50{col 47}{space 3}0.013{col 55}{space 4}-2.071434{col 68}{space 3}-.2492104
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.0759133{col 27}{space 2} .2895524{col 38}{space 1}   -0.26{col 47}{space 3}0.793{col 55}{space 4}-.6434256{col 68}{space 3}  .491599
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.241477{col 27}{space 2} .3123849{col 38}{space 1}    3.97{col 47}{space 3}0.000{col 55}{space 4} .6292139{col 68}{space 3}  1.85374
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-1.639053{col 27}{space 2} 1.615492{col 38}{space 1}   -1.01{col 47}{space 3}0.310{col 55}{space 4}-4.805359{col 68}{space 3} 1.527253
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. **********************************************************************************************************************************************
. * Table A17 - Multinomial logistic regression of leaving the in-party and abstaining, using partisan strength as a main independent variable *
. **********************************************************************************************************************************************
. mlogit Vote_Type_new2 c.PID_Strength##i.leftWing_W1 c.PID_Strength##i.rightWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12, baseoutcome(3)

{txt}note: PID_Strength omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1416.0469}  
Iteration 1:{space 3}log likelihood = {res:-1237.0062}  
Iteration 2:{space 3}log likelihood = {res:-1233.8227}  
Iteration 3:{space 3}log likelihood = {res:-1233.8086}  
Iteration 4:{space 3}log likelihood = {res:-1233.8086}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     1,262
{txt}{col 49}LR chi2({res}27{txt}){col 67}= {res}    364.48
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1233.8086{txt}{col 49}Pseudo R2{col 67}= {res}    0.1287

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Vote_Type_n~2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Grillo        {txt}{c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-1.390461{col 27}{space 2} 1.507911{col 38}{space 1}   -0.92{col 47}{space 3}0.356{col 55}{space 4}-4.345913{col 68}{space 3} 1.564991
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-2.003977{col 27}{space 2} .6886978{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}  -3.3538{col 68}{space 3}-.6541536
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0380019{col 27}{space 2} 1.555558{col 38}{space 1}   -0.02{col 47}{space 3}0.981{col 55}{space 4}-3.086839{col 68}{space 3} 3.010835
{txt}{space 13} {c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2}-.7124009{col 27}{space 2} .6976684{col 38}{space 1}   -1.02{col 47}{space 3}0.307{col 55}{space 4}-2.079806{col 68}{space 3} .6550041
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1357094{col 27}{space 2}  1.56111{col 38}{space 1}   -0.09{col 47}{space 3}0.931{col 55}{space 4}-3.195428{col 68}{space 3} 2.924009
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.8090518{col 27}{space 2} .4326607{col 38}{space 1}   -1.87{col 47}{space 3}0.061{col 55}{space 4}-1.657051{col 68}{space 3} .0389476
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.380665{col 27}{space 2}   .33463{col 38}{space 1}   -4.13{col 47}{space 3}0.000{col 55}{space 4}-2.036528{col 68}{space 3}-.7248026
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .6322469{col 27}{space 2} .2037379{col 38}{space 1}    3.10{col 47}{space 3}0.002{col 55}{space 4} .2329278{col 68}{space 3} 1.031566
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.320586{col 27}{space 2} .2116634{col 38}{space 1}    6.24{col 47}{space 3}0.000{col 55}{space 4} .9057335{col 68}{space 3} 1.735439
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .7658424{col 27}{space 2} .7289616{col 38}{space 1}    1.05{col 47}{space 3}0.293{col 55}{space 4} -.662896{col 68}{space 3} 2.194581
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}another_party {txt}{c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-1.020577{col 27}{space 2} 1.123795{col 38}{space 1}   -0.91{col 47}{space 3}0.364{col 55}{space 4}-3.223174{col 68}{space 3}  1.18202
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-2.492129{col 27}{space 2} .5430122{col 38}{space 1}   -4.59{col 47}{space 3}0.000{col 55}{space 4}-3.556414{col 68}{space 3}-1.427845
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1639827{col 27}{space 2} 1.154467{col 38}{space 1}   -0.14{col 47}{space 3}0.887{col 55}{space 4}-2.426696{col 68}{space 3} 2.098731
{txt}{space 13} {c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2}-.8730818{col 27}{space 2} .5508373{col 38}{space 1}   -1.59{col 47}{space 3}0.113{col 55}{space 4}-1.952703{col 68}{space 3} .2065395
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0623459{col 27}{space 2} 1.158819{col 38}{space 1}   -0.05{col 47}{space 3}0.957{col 55}{space 4}-2.333589{col 68}{space 3} 2.208897
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} .0069275{col 27}{space 2} .3061824{col 38}{space 1}    0.02{col 47}{space 3}0.982{col 55}{space 4} -.593179{col 68}{space 3} .6070341
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.128018{col 27}{space 2} .2342947{col 38}{space 1}   -4.81{col 47}{space 3}0.000{col 55}{space 4}-1.587227{col 68}{space 3}-.6688087
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0968339{col 27}{space 2} .1477744{col 38}{space 1}    0.66{col 47}{space 3}0.512{col 55}{space 4}-.1927986{col 68}{space 3} .3864665
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.241549{col 27}{space 2} .1518907{col 38}{space 1}    8.17{col 47}{space 3}0.000{col 55}{space 4} .9438488{col 68}{space 3}  1.53925
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 1.946538{col 27}{space 2} .5713317{col 38}{space 1}    3.41{col 47}{space 3}0.001{col 55}{space 4} .8267487{col 68}{space 3} 3.066328
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}inparty      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}abstain       {txt}{c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2} -.060492{col 27}{space 2} 1.807665{col 38}{space 1}   -0.03{col 47}{space 3}0.973{col 55}{space 4}-3.603451{col 68}{space 3} 3.482467
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-2.579969{col 27}{space 2} .9663948{col 38}{space 1}   -2.67{col 47}{space 3}0.008{col 55}{space 4}-4.474068{col 68}{space 3}-.6858702
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1032548{col 27}{space 2} 1.915532{col 38}{space 1}   -0.05{col 47}{space 3}0.957{col 55}{space 4}-3.857629{col 68}{space 3} 3.651119
{txt}{space 13} {c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} -.172466{col 27}{space 2} .9326486{col 38}{space 1}   -0.18{col 47}{space 3}0.853{col 55}{space 4}-2.000424{col 68}{space 3} 1.655492
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-2.070261{col 27}{space 2} 1.906893{col 38}{space 1}   -1.09{col 47}{space 3}0.278{col 55}{space 4}-5.807703{col 68}{space 3}  1.66718
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.1414864{col 27}{space 2} .6631599{col 38}{space 1}   -0.21{col 47}{space 3}0.831{col 55}{space 4}-1.441256{col 68}{space 3} 1.158283
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.390224{col 27}{space 2} .4873041{col 38}{space 1}   -2.85{col 47}{space 3}0.004{col 55}{space 4}-2.345322{col 68}{space 3}-.4351252
{txt}Employment0~1 {c |}{col 15}{res}{space 2}-.0530845{col 27}{space 2} .3081254{col 38}{space 1}   -0.17{col 47}{space 3}0.863{col 55}{space 4}-.6569993{col 68}{space 3} .5508303
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.084567{col 27}{space 2} .3208781{col 38}{space 1}    3.38{col 47}{space 3}0.001{col 55}{space 4} .4556578{col 68}{space 3} 1.713477
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.2547411{col 27}{space 2} .9973539{col 38}{space 1}   -0.26{col 47}{space 3}0.798{col 55}{space 4}-2.209519{col 68}{space 3} 1.700037
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. **********************************************************************************************************************************************
. * Table A18 - Multinomial logistic regression of voting for M5S and voting for another party, with partisan identity strength as a predictor *
. **********************************************************************************************************************************************
. mlogit Vote_Type_new c.Partisan_ID##i.leftWing_W1 c.Partisan_ID##i.rightWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12

{txt}note: Partisan_ID omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1314.4272}  
Iteration 1:{space 3}log likelihood = {res:-1138.8375}  
Iteration 2:{space 3}log likelihood = {res:-1136.0078}  
Iteration 3:{space 3}log likelihood = {res:-1135.9737}  
Iteration 4:{space 3}log likelihood = {res:-1135.9737}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     1,316
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}    356.91
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1135.9737{txt}{col 49}Pseudo R2{col 67}= {res}    0.1358

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Vote_Type_new{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Grillo        {txt}{c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 5.925353{col 27}{space 2} 3.096417{col 38}{space 1}    1.91{col 47}{space 3}0.056{col 55}{space 4}-.1435135{col 68}{space 3} 11.99422
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2} 1.290635{col 27}{space 2} 1.551171{col 38}{space 1}    0.83{col 47}{space 3}0.405{col 55}{space 4}-1.749605{col 68}{space 3} 4.330874
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-7.297385{col 27}{space 2} 3.194878{col 38}{space 1}   -2.28{col 47}{space 3}0.022{col 55}{space 4}-13.55923{col 68}{space 3}-1.035539
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} 3.231623{col 27}{space 2} 1.542326{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4} .2087193{col 68}{space 3} 6.254526
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}  -8.7176{col 27}{space 2} 3.186326{col 38}{space 1}   -2.74{col 47}{space 3}0.006{col 55}{space 4}-14.96268{col 68}{space 3}-2.472515
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.8738787{col 27}{space 2}  .409083{col 38}{space 1}   -2.14{col 47}{space 3}0.033{col 55}{space 4}-1.675667{col 68}{space 3}-.0720907
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.153054{col 27}{space 2} .3143132{col 38}{space 1}   -3.67{col 47}{space 3}0.000{col 55}{space 4}-1.769097{col 68}{space 3}-.5370117
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .6049175{col 27}{space 2} .1912744{col 38}{space 1}    3.16{col 47}{space 3}0.002{col 55}{space 4} .2300266{col 68}{space 3} .9798084
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.330796{col 27}{space 2} .2063024{col 38}{space 1}    6.45{col 47}{space 3}0.000{col 55}{space 4} .9264507{col 68}{space 3} 1.735141
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.317557{col 27}{space 2} 1.514544{col 38}{space 1}   -1.53{col 47}{space 3}0.126{col 55}{space 4}-5.286008{col 68}{space 3} .6508941
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}another_party {txt}{c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2} 3.950657{col 27}{space 2} 2.348932{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-.6531643{col 68}{space 3} 8.554478
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2} .5169413{col 27}{space 2} 1.032431{col 38}{space 1}    0.50{col 47}{space 3}0.617{col 55}{space 4}-1.506586{col 68}{space 3} 2.540469
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-6.808931{col 27}{space 2} 2.416436{col 38}{space 1}   -2.82{col 47}{space 3}0.005{col 55}{space 4}-11.54506{col 68}{space 3}-2.072803
{txt}{space 13} {c |}
{space 2}Partisan_ID {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2} 1.359291{col 27}{space 2}   1.0406{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-.6802481{col 68}{space 3}  3.39883
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
c.Partisan_ID {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-5.336244{col 27}{space 2} 2.419421{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4}-10.07822{col 68}{space 3}-.5942661
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.1161416{col 27}{space 2} .2959618{col 38}{space 1}   -0.39{col 47}{space 3}0.695{col 55}{space 4} -.696216{col 68}{space 3} .4639328
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.008276{col 27}{space 2} .2252137{col 38}{space 1}   -4.48{col 47}{space 3}0.000{col 55}{space 4}-1.449687{col 68}{space 3}-.5668655
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .1342501{col 27}{space 2}   .14164{col 38}{space 1}    0.95{col 47}{space 3}0.343{col 55}{space 4}-.1433591{col 68}{space 3} .4118593
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.268118{col 27}{space 2} .1515472{col 38}{space 1}    8.37{col 47}{space 3}0.000{col 55}{space 4} .9710913{col 68}{space 3} 1.565145
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.0097239{col 27}{space 2} 1.010888{col 38}{space 1}   -0.01{col 47}{space 3}0.992{col 55}{space 4}-1.991028{col 68}{space 3}  1.97158
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}inparty      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *************************************************************************************************************************************
. * Table A19 - Multinomial logistic regression of voting for M5S and voting for another party, with partisan strength as a predictor *
. *************************************************************************************************************************************
. mlogit Vote_Type_new c.PID_Strength##i.leftWing_W1 c.PID_Strength##i.rightWing_W1 Education01 Age_Cat01 Employment01 Sample if totalwaves==5 & PartyID_W1!=12

{txt}note: PID_Strength omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1193.0397}  
Iteration 1:{space 3}log likelihood = {res:-1021.1174}  
Iteration 2:{space 3}log likelihood = {res:-1018.8619}  
Iteration 3:{space 3}log likelihood = {res:-1018.8509}  
Iteration 4:{space 3}log likelihood = {res:-1018.8509}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}     1,208
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}    348.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1018.8509{txt}{col 49}Pseudo R2{col 67}= {res}    0.1460

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Vote_Type_new{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Grillo        {txt}{c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-1.446414{col 27}{space 2}  1.53628{col 38}{space 1}   -0.94{col 47}{space 3}0.346{col 55}{space 4}-4.457468{col 68}{space 3}  1.56464
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-2.077603{col 27}{space 2} .6938297{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-3.437484{col 68}{space 3}-.7177218
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .0039234{col 27}{space 2} 1.583848{col 38}{space 1}    0.00{col 47}{space 3}0.998{col 55}{space 4}-3.100362{col 68}{space 3} 3.108209
{txt}{space 13} {c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2}-.7571023{col 27}{space 2}  .702285{col 38}{space 1}   -1.08{col 47}{space 3}0.281{col 55}{space 4}-2.133556{col 68}{space 3}  .619351
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1655712{col 27}{space 2} 1.588503{col 38}{space 1}   -0.10{col 47}{space 3}0.917{col 55}{space 4} -3.27898{col 68}{space 3} 2.947838
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2}-.8181266{col 27}{space 2} .4358312{col 38}{space 1}   -1.88{col 47}{space 3}0.060{col 55}{space 4} -1.67234{col 68}{space 3} .0360869
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2}-1.401349{col 27}{space 2} .3355032{col 38}{space 1}   -4.18{col 47}{space 3}0.000{col 55}{space 4}-2.058924{col 68}{space 3}-.7437754
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .6329968{col 27}{space 2} .2047569{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} .2316806{col 68}{space 3} 1.034313
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.352808{col 27}{space 2} .2134389{col 38}{space 1}    6.34{col 47}{space 3}0.000{col 55}{space 4} .9344757{col 68}{space 3} 1.771141
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .8380994{col 27}{space 2}  .733455{col 38}{space 1}    1.14{col 47}{space 3}0.253{col 55}{space 4} -.599446{col 68}{space 3} 2.275645
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}another_party {txt}{c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}-1.034684{col 27}{space 2} 1.139973{col 38}{space 1}   -0.91{col 47}{space 3}0.364{col 55}{space 4}-3.268989{col 68}{space 3} 1.199621
{txt}1.leftWing_W1 {c |}{col 15}{res}{space 2}-2.551106{col 27}{space 2} .5454895{col 38}{space 1}   -4.68{col 47}{space 3}0.000{col 55}{space 4}-3.620246{col 68}{space 3}-1.481967
{txt}{space 13} {c |}
{space 2}leftWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2} -.172923{col 27}{space 2} 1.171139{col 38}{space 1}   -0.15{col 47}{space 3}0.883{col 55}{space 4}-2.468313{col 68}{space 3} 2.122467
{txt}{space 13} {c |}
{space 1}PID_Strength {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
1.rightWing~1 {c |}{col 15}{res}{space 2}-.9075477{col 27}{space 2} .5529571{col 38}{space 1}   -1.64{col 47}{space 3}0.101{col 55}{space 4}-1.991324{col 68}{space 3} .1762282
{txt}{space 13} {c |}
{space 1}rightWing_W1#{c |}
{space 11}c. {c |}
{space 1}PID_Strength {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1363529{col 27}{space 2} 1.174829{col 38}{space 1}   -0.12{col 47}{space 3}0.908{col 55}{space 4}-2.438975{col 68}{space 3} 2.166269
{txt}{space 13} {c |}
{space 2}Education01 {c |}{col 15}{res}{space 2} .0166872{col 27}{space 2} .3091834{col 38}{space 1}    0.05{col 47}{space 3}0.957{col 55}{space 4} -.589301{col 68}{space 3} .6226755
{txt}{space 4}Age_Cat01 {c |}{col 15}{res}{space 2} -1.14454{col 27}{space 2} .2360381{col 38}{space 1}   -4.85{col 47}{space 3}0.000{col 55}{space 4}-1.607166{col 68}{space 3}-.6819139
{txt}Employment0~1 {c |}{col 15}{res}{space 2} .0973168{col 27}{space 2} .1488744{col 38}{space 1}    0.65{col 47}{space 3}0.513{col 55}{space 4}-.1944717{col 68}{space 3} .3891053
{txt}{space 7}Sample {c |}{col 15}{res}{space 2} 1.269104{col 27}{space 2} .1536966{col 38}{space 1}    8.26{col 47}{space 3}0.000{col 55}{space 4} .9678643{col 68}{space 3} 1.570344
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.000328{col 27}{space 2} .5743772{col 38}{space 1}    3.48{col 47}{space 3}0.000{col 55}{space 4} .8745696{col 68}{space 3} 3.126087
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}inparty      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
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